Journal articles: 'EXPERT SYSTEM GENERATOR'

1

Ho, T. L., R. A. Bayles, and E. R. Sieger. "Aircraft VSCF generator expert system." IEEE Aerospace and Electronic Systems Magazine 3, no. 4 (1988): 6–13. http://dx.doi.org/10.1109/62.860.

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Kumar, M. Sarath, and B. S. Prabhu. "Rotating Machinery Predictive Maintenance Through Expert System." International Journal of Rotating Machinery 6, no. 5 (2000): 363–73. http://dx.doi.org/10.1155/s1023621x00000348.

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Modern rotating machines such as turbomachines, either produce or absorb huge amount of power. Some of the common applications are: steam turbine-generator and gas turbine-compressor-generator trains produce power and machines, such as pumps, centrifugal compressors, motors, generators, machine tool spindles, etc., are being used in industrial applications. Condition-based maintenance of rotating machinery is a common practice where the machine's condition is monitored constantly, so that timely maintenance can be done. Since modern machines are complex and the amount of data to be interpreted is huge, we need precise and fast methods in order to arrive at the best recommendations to prevent catastrophic failure and to prolong the life of the equipment. In the present work using vibration characteristics of a rotor-bearing system, the condition of a rotating machinery (electrical rotor) is predicted using an off-line expert system. The analysis of the problem is carried out in an Object Oriented Programming (OOP) framework using the finite element method. The expert system which is also developed in an OOP paradigm gives the type of the malfunctions, suggestions and recommendations. The system is implemented in C++.

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Cheng, Edmond D. H. "Wind data generator: A knowledge-based expert system." Journal of Wind Engineering and Industrial Aerodynamics 38, no. 2-3 (1991): 101–8. http://dx.doi.org/10.1016/0167-6105(91)90032-r.

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Kato, Masami, Shiro Matsumura, Tatsuya Tosaki, et al. "Turbine Generator On-Line Monitoring and Diagnostic Expert System." IEEJ Transactions on Power and Energy 111, no. 10 (1991): 1112–20. http://dx.doi.org/10.1541/ieejpes1990.111.10_1112.

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Matsumura, S., K. Kawai, A. Kamiya, T. Koi, and K. Momoeda. "User-Friendly Expert System for Turbine/Generator Vibration Diagnosis." IFAC Proceedings Volumes 22, no. 12 (1989): 63–68. http://dx.doi.org/10.1016/s1474-6670(17)53056-6.

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Haddock, Jorge. "An expert system framework based on a simulation generator." SIMULATION 48, no. 2 (1987): 45–53. http://dx.doi.org/10.1177/003754978704800202.

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Kim, Shang-Hoon, and Sang-Yong Jung. "Optimal Design of Direct-Driven Wind Generator Using Genetic Algorithm Combined with Expert System." Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 24, no. 10 (2010): 149–56. http://dx.doi.org/10.5207/jieie.2010.24.10.149.

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Yan, Chang Feng, Hui Bin Wang, Li Long Zhou, and Zhi Xin Li. "Fault Diagnosis Expert System of Turbine Generator Sets Based on Rule Reasoning and Case Reasoning." Applied Mechanics and Materials 513-517 (February 2014): 4443–48. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.4443.

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A synthetic fault diagnosis expert system for turbine generator sets based on rule based reasoning and cases based reasoning is built in this paper. The structure of synthetic fault diagnosis expert system is discussed. The rule base and case base for the fault diagnosis of expert system is established based on the domain expert knowledge and relevant fault cases of turbine generator sets. Both the inference flow and case retrieval strategy of diagnosis system are discussed in detail. Finally the expert system is verified by a given application example.

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Kaur, Gurpreet, Derminder Singh, and Rajan Aggarwal. "Geographical Information Based Expert System to Estimate Submersible Pump System Specifications." Oriental journal of computer science and technology 10, no. 2 (2017): 497–501. http://dx.doi.org/10.13005/ojcst/10.02.34.

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During past two decades, groundwater utilization has increased tremendously in the state of Punjab (India) particularly for agriculture purposes. Higher energy demand for lifting water is a result of decline in water table. Punjab is presently facing water crises which exasperate monetary conditions of small farmers, abrogate the natural value and unfavorably influence farming generation and economy of the state.In this research, an expert system was developed using Java Standard Edition 7 which provide appropriate selection of submersible pump set and required associated components such as power cable rating and size, generator capacity, ammeter rating, voltmeter rating, capacitor rating and Polyvinyl Chloride pipe diameter based on the spatial information of last 18 years (1998-2015) of ground water table for the state of Punjab. The developed system will be beneficial for the farmer’s in estimation of the required submersible pumping system and allied electrical components.

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Yoga, Herman, and R. Mahdalena Simanjorang. "Expert System for Diagnosing Damage Genset Petbow on PT.Salim Ivomas Pratama Tbk Method Using Certainty Factor (CF)." Journal Of Computer Networks, Architecture and High Performance Computing 2, no. 2 (2020): 259–62. http://dx.doi.org/10.47709/cnapc.v2i2.429.

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This study aims to design an expert system applications that are made to provide solutions to users in order to Overcome the cause of damage to the generator set. The mechanism of this program works with the Certainty Factor method, while the method used in this research is to collect information about the generator damage from experts systematically compiled into a database on a computer where the database will Determine the solution of the facts. facts on the generator sets entered into this program. The test results of this program will provide a solution to the user quickly intervening after the user Provides information to the program about the state of the generator that is interrupted or damaged.

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Lin, C. E., C. J. Huang, C. L. Huang, C. C. Liang, and S. Y. Lee. "An expert system for generator maintenance scheduling using operation index." IEEE Transactions on Power Systems 7, no. 3 (1992): 1141–48. http://dx.doi.org/10.1109/59.207327.

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Gemmell, B. D., J. R. McDonald, R. W. Stewart, R. N. T. Brooke, and B. J. Weir. "A Consultative Expert System for Fault Diagnosis of Turbine-Generator Plant." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 208, no. 4 (1994): 257–66. http://dx.doi.org/10.1243/pime_proc_1994_208_046_02.

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Turbine specialists have extensive experience in the analysis and interpretation of turbine–generator operational plant data and in the diagnosis of fault conditions. Expert system technology makes it possible for such expertise, elicited from specialists, to be structured in a ‘knowledge base’. This paper will discuss the application of specialist knowledge to the analysis of turbine–generator plant data to aid turbine staff of optimize plant performance, thus demonstrating to users the operation and potential benefits of a consultative expert system.

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ISHIHARA, Shigekazu, Keiko HATAMOTO, Mitsuo NAGAMACHI, Yukihiro MATSUBARA, and Kohji Manabe. "AKSYONN: Automatic Kansei Expert System Generator by Self Organzing Neural Network." Japanese journal of ergonomics 29, Supplement (1993): 198–99. http://dx.doi.org/10.5100/jje.29.supplement_198.

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Benoist, B., C. Cherpentier, B. David, and M. Pigeon. "Expert system designed to increase the reliability on steam generator tubing." NDT & E International 25, no. 1 (1992): 39. http://dx.doi.org/10.1016/0963-8695(92)90032-c.

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Kirk, R. Gordon, and Zenglin Guo. "Expert System Source Identification of Excessive Vibration." International Journal of Rotating Machinery 9, no. 2 (2003): 63–79. http://dx.doi.org/10.1155/s1023621x03000071.

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The importance of vibration data in determining the condition of rotating machinery is well established in both the aircraft and the heavy equipment industries. Installation of noncontact displacement probes for shaft motion and either velocity or acceleration sensors for bearing cap or foundation motion is standard practice for equipment manufacturers. Automation of the diagnostic evaluation of certain simple faults can be easily implemented. The advances in computer languages in recent years have made it diffiucult to keep pace with the graphical capabilities available to the programmers. One major concern is the content of the knowledge base and the method of modifying the knowledge base or the procedure of evaluating the confidence of a given identified possible cause of a problem. This article addresses the application of one such expert system to a recent vibration problem on a 7-megawatt steam turbine–driven generator located at the power plant of Virginia Polytechnic Institute.

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Benoist, B., P. Gaillard, M. Pigeon, and P. Morizet-Mahoudeaux. "Expert system for the characterization of defect signals in steam generator tubes." Engineering Applications of Artificial Intelligence 8, no. 3 (1995): 309–18. http://dx.doi.org/10.1016/0952-1976(95)00011-o.

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Woo, H. G., I. K. Yang, and K. Y. Kim. "An expert system for eddy current signal evaluation of steam generator tubes." NDT & E International 25, no. 1 (1992): 42. http://dx.doi.org/10.1016/0963-8695(92)90064-n.

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Sarma, Hari K., Ramana V. Grandhi, and Ronald F. Taylor. "Expert system for multidisciplinary analysis and optimization using ASTROS." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 4, no. 2 (1990): 117–28. http://dx.doi.org/10.1017/s0890060400002304.

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This paper discusses the framework of a knowledge-based expert system environment to design aerospace structures under structural and aerodynamic constraints using ASTROS (Automated Structural Optimization program). ASTROS is a synthesis tool built around the NASTRAN finite element program. The knowledge base capabilities are discussed for synthesizing in statics, normal mode, steady and unsteady aerodynamic disciplines. A description of the two ASTROS advisor modules, the Editor/Bulk Data generator and Post-processor, is included. Experiences and issues involved in hierarchical representation of knowledge as menu options at different levels of abstraction are presented. Illustrative examples of the advisor in designing airframe structures are also included.

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Khan, Aurangzeb, M. Faheem Khan, and Khair Ullah Khan. "An Automatic Code Generator Expert System Using Proprietary Language for Wider Business Application." Research Journal of Applied Sciences, Engineering and Technology 7, no. 18 (2014): 3771–74. http://dx.doi.org/10.19026/rjaset.7.732.

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Chavero-Navarrete, Ernesto, Mario Trejo-Perea, Juan Carlos Jáuregui-Correa, Roberto Valentín Carrillo-Serrano, and José Gabriel Ríos-Moreno. "Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art." Applied Sciences 9, no. 12 (2019): 2469. http://dx.doi.org/10.3390/app9122469.

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Wind power is a renewable energy source that has been developed in recent years. Large turbines are increasingly seen. The advantage of generating electrical power in this way is that it can be connected to the grid, making it an economical and easily available source of energy. The fundamental problem of a wind turbine is the randomness in a wide range of wind speeds that determine the electrical energy generated, as well as abrupt changes in wind speed that make the system unstable and unsafe. A conventional control system based on a mathematical model is effective with moderate disturbances, but slow with very large oscillations such as those produced by turbulence. To solve this problem, expert control systems (ECS) are proposed, which are based on human experience and an adequate management of stored information of each of its variables, providing a way to determine solutions. This revision of recent years, mentions the expert systems developed to obtain the point of maximum power generation in a wind turbine with permanent magnet synchronous generator (PMSG) and, therefore, offers a control solution that adapts to the specifications of any wind turbine.

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Shneen, Salam Waley. "Advanced Optimal For PV system coupled with PMSM." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 3 (2016): 556. http://dx.doi.org/10.11591/ijeecs.v1.i3.pp556-565.

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The main advantages of PMSM are high torque density, high efficiency and small size. Photovoltaic power generation system PV generation technology is treated as the most promising technology among renewable energies. Photovoltaic (PV) power generation system is a promising source of energy with great interest in clean and renewable energy sources. To use different control systems, like Classical PI Controller, Expert System Fuzzy Logic Controller and Optimization PSO Controller. It used to control for power electronic (inverter) &amp;PMSM which worked in the integration system to PV energy. There are two parts in this paper, first part advanced Optimal PSO, Fuzzy &amp;PI Controller power electronic (inverter) with PV for using different control systems this part on the generator side at constant torque. Second part in the load side of variable torque, by using different control systems with PMSM to analyze all results after using the simulation model of proposed based PV system. The PV system is coupled with PMSM. A closed loop control system with a PI control, Fuzzy, PSO in the speed loop with current controllers.

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Gonzalez, Avelino J., Uma G. Gupta, and Richard B. Chianese. "Performance evaluation of a large diagnostic expert system using a heuristic test case generator." Engineering Applications of Artificial Intelligence 9, no. 3 (1996): 275–84. http://dx.doi.org/10.1016/0952-1976(95)00018-6.

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23

Huh, Y. H., K. Y. Kim, H. G. Woo, and I. K. Yang. "An expert system for automatic evaluation of eddy current signal of steam generator tubes." NDT & E International 25, no. 1 (1992): 39. http://dx.doi.org/10.1016/0963-8695(92)90028-f.

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KAMEYAMA, YUKIYOSHI, OLEG KISELYOV, and CHUNG-CHIEH SHAN. "Shifting the stage." Journal of Functional Programming 21, no. 6 (2011): 617–62. http://dx.doi.org/10.1017/s0956796811000256.

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AbstractIt is often hard to write programs that are efficient yet reusable. For example, an efficient implementation of Gaussian elimination should be specialized to the structure and known static properties of the input matrix. The most profitable optimizations, such as choosing the best pivoting or memoization, cannot be expected of even an advanced compiler because they are specific to the domain, but expressing these optimizations directly makes for ungainly source code. Instead, a promising and popular way to reconcile efficiency with reusability is for a domain expert to write code generators.Two pillars of this approach are types and effects. Typed multilevel languages such as MetaOCaml ensure safety and early error reporting: a well-typed code generator neither goes wrong nor generates code that goes wrong. Side effects such as state and control ease correctness and expressivity: An effectful generator can resemble the textbook presentation of an algorithm, as is familiar to domain experts, yet insert let for memoization and if for bounds checking, as is necessary for efficiency. Together, types and effects enable structuring code generators as compositions of modules with well-defined interfaces, and hence scaling to large programs. However, blindly adding effects renders multilevel types unsound.We introduce the first multilevel calculus with control effects and a sound type system. We give small-step operational semantics as well as a one-pass continuation-passing-style translation. For soundness, our calculus restricts the code generator's effects to the scope of generated binders. Even with this restriction, we can finally write efficient code generators for dynamic programming and numerical methods in direct style, like in algorithm textbooks, rather than in continuation-passing or monadic style.

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Riza, Lala Septem, Anita Dyah Pertiwi, Eka Fitrajaya Rahman, Munir Munir, and Cep Ubad Abdullah. "Question Generator System of Sentence Completion in TOEFL Using NLP and K-Nearest Neighbor." Indonesian Journal of Science and Technology 4, no. 2 (2019): 294–311. http://dx.doi.org/10.17509/ijost.v4i2.18202.

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Test of English as a Foreign Language (TOEFL) is one of learning evaluation forms that requires excellent quality of questions. Preparing TOEFL questions using a conventional way certainly spends a lot of time. Computer technology can be used to solve the problem. Therefore, this research was conducted in order to solve the problem of making TOEFL questions with sentence completion type. The built system consists of several stages: (1) input data collection from foreign media news sites with excellent English grammar quality; (2) preprocessing with Natural Language Processing (NLP); (3) Part of Speech (POS) tagging; (4) question feature extraction; (5) separation and selection of news sentences; (6) determination and value collection of seven features; (7) conversion of categorical data value; (8) target classification of blank position word with K-Nearest Neighbor (KNN); (9) heuristic determination of rules from human experts; and (10) options selection or distraction based on heuristic rules. After conducting the experiment on 10 news, it is obtained that 20 questions based on the results of the evaluation showed that the generated questions had a very good quality with percentage of 81.93% (after the assessment by the human expert), and 70% was the same blank position from the historical data of TOEFL questions. So, it can be concluded that the generated question has the following characteristics: the quality of the result follows the data training from the historical TOEFL questions, and the quality of the distraction is very good because it is derived from the heuristics of human experts.

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VALIMAKI, I. A. T., T. NIEMINEN, K. J. ANTILA, and D. P. SOUTHALL. "Heart-Rate Variability and SIDS Examination of Heart-Rate Patterns Using an Expert System Generator." Annals of the New York Academy of Sciences 533, no. 1 The Sudden In (1988): 228–37. http://dx.doi.org/10.1111/j.1749-6632.1988.tb37252.x.

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Xu, Zhi Yuan, Zhao Lin Wu, Jie Yao, and Yu Qing Ren. "Vessel Traffic System Project Post Evaluation Method Based on Cloud Model." Applied Mechanics and Materials 687-691 (November 2014): 1528–31. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1528.

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Post evaluation is necessary for assess the success degree of a new system. A vessel traffic system project post evaluation method based on cloud model is presented. Firstly, we created the post evaluation index system and weight; Secondly, the expert scored the indexes and then cloud models were achieved; Thirdly, the comprehensive cloud algorithm calculated the result; Finally, the forward cloud generator restore the droplets distribution. The experimental result shows that the method is effective and intuitive.

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Forman, Ernest H., and Thomas J. Nagy. "Exsys vs. topsi/opss vs. micro-ps: A multicriteria model to select an expert system generator." Telematics and Informatics 4, no. 1 (1987): 37–54. http://dx.doi.org/10.1016/s0736-5853(87)80004-7.

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Trunin, A. S., O. E. Morgunova, E. A. Andreev, and S. V. Gorbachev. "Electronic generator of phase diagrams as an expert system for refining parameters of three-component eutectics." Doklady Physical Chemistry 423, no. 1 (2008): 306–10. http://dx.doi.org/10.1134/s0012501608110055.

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Blanco-M., Alejandro, Pere Marti-Puig, Karina Gibert, Jordi Cusidó, and Jordi Solé-Casals. "A Text-Mining Approach to Assess the Failure Condition of Wind Turbines Using Maintenance Service History." Energies 12, no. 10 (2019): 1982. http://dx.doi.org/10.3390/en12101982.

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Detecting and determining which systems or subsystems of a wind turbine have more failures is essential to improve their design, which will reduce the costs of generating wind power. Two of the most critical failures, the generator and gearbox, are analyzed and characterized with four metrics. This failure analysis usually begins with the identification of the turbine’s condition, a process normally performed by an expert examining the wind turbine’s service history. This is a time-consuming task, as a human expert has to examine each service entry. To automate this process, a new methodology is presented here, which is based on a set of steps to preprocess and decompose the service history to find relevant words and sentences that discriminate an unhealthy wind turbine period from a healthy one. This is achieved by means of two classifiers fed with the matrix of terms from the decomposed document of the training wind turbines. The classifiers can extract essential words and determine the conditions of new turbines of unknown status using the text from the service history, emulating what a human expert manually does when labelling the training set. Experimental results are promising, with accuracy and F-score above 90% in some cases. Condition monitoring system can be improved and automated using this system, which helps the expert in the tedious task of identifying the relevant words from the turbine service history. In addition, the system can be retrained when new knowledge becomes available and may therefore always be as accurate as a human expert. With this new tool, the expert can focus on identifying which systems or subsystems can be redesigned to increase the efficiency of wind turbines.

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Klaeren, H., and F. Banhart. "A Graphical Query Generator for Clinical Research Databases." Methods of Information in Medicine 34, no. 04 (1995): 328–39. http://dx.doi.org/10.1055/s-0038-1634607.

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Abstract:Clinical research involves recording, storage and retrieval of disease-related patient data, typically using a database system. In order to facilitate ad hoc queries to clinical databases we have developed a query generator with a graphical interface. The query generator uses an object-oriented data model which is visualized by directed graphs. The main focus of our work was the definition of object-oriented user views to the partly complex data structures of a relational database. Furthermore, we tried to define graphical abstractions for all common types of queries. Thus, even for non-expert database users such as clinicians, it is easy to assemble highly complex queries for a thorough examination of the content of large research databases.

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Bouacha, Nadjet, and Mouloud Belachia. "Elaboration of an Expert System for Sizing, Designing and Verifying Flexible Pavements." Civil and Environmental Engineering Reports 30, no. 3 (2020): 94–121. http://dx.doi.org/10.2478/ceer-2020-0035.

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Abstract The use of expert systems in the world of civil engineering, and in particular for roads, has become a necessity for the reason of the particularity, complexity, and diversity of the influencing parameters at the level of the design calculation, the latter of which represents the major source of subsequent degradation. This system consists of proposing a tool for helping the user firstly to size the body of the roadway, with several analytical methods and models (Pre-project, Boussinesq, Westgaard, and Burmister), and secondly, to offer different design possibilities (thickness and type of the material) that make up the layers. Lastly, it is to calculate the stresses and strains in order to compare them with admissible limits. The management of a knowledge base of complex natures (words, sentences, numbers, symbols, tables, calculation methods, equations, conditions, etc.) requires an adequate methodology which goes beyond the simple use of the technology but enables you to imagine the process of regrouping this mass of complex data and classifying the data, which can then be integrated into a database or spreadsheets and external programs designed with code compatible with the expert system generator. Our contribution relates initially to the formulation, organization, and preparation of the algorithms, and then the starting of the programs in order to conceive fully executable programs, the latter of which we can call the expert system. The validation of such a system was made as the work progressed, changes were made in the formulation of the rules, and the order and orientation of the data in the knowledge that the advantage of this type of system is the possibility of permanently reinforcing the database with human expertise in the field, or in books, especially so that we can avoid data loss due to illnesses, retirement, etc.

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Plokhov, Igor, Igor Savraev, Alexander Ilyin, Oksana Kozyreva, and Sergey Loginov. "Diagnostics and Forecasting of the Turbo-generators Sliding Current Collection Units Technical Condition." E3S Web of Conferences 216 (2020): 01064. http://dx.doi.org/10.1051/e3sconf/202021601064.

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The article is about assessing the reliability levels of the main diagnostic procedures, determining prognostic recommendations, developing a three-factor regression expert model, obtaining a generalized assessment of the turbo-generator sliding current collection unit functioning quality, and building a logical-analytical system for diagnostics and forecasting of the sliding current collection unit technical condition.

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Triana, Komang Bayu, Kadek Rihendra Dantes, and I. N. Pasek Nugraha. "PENGEMBANGAN DESAIN FREE ENERGY GENERATOR BERBAHAN MAGNET NEODYMIUM BERBASIS SOLIDWORKS UNTUK SISTEM RECHARGING PROTOTYPE GANESHA ELECTRIC GENERASI II UNDIKSHA." Jurnal Pendidikan Teknik Mesin Undiksha 7, no. 3 (2019): 111. http://dx.doi.org/10.23887/jptm.v7i3.26514.

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Sejalan dengan perkembangan ilmu pengetahuan ditemukan bahwa listrik dan magnet memiliki keterkaitan satu dengan yang lainnya, magnet dalam sebuah sistem pembangkitan terdapat pada bagian generator, dimana generator ini dapat menghasilkan listrik oleh putaran yang bersamaan dengan putaran turbin dengan adanya bantuan sumber-sumber energi. Namun ternyata magnet juga dapat menjadi sumber energi penggerak bagi generator itu sendiri. Penelitian ini dilakukan berdasarkan konteks permasalahan dalam hal ini menyangkut tentang perangcangan desain free energy generator berbasis magnet neodymium sebagai sumber energi kelistrikan sekaligus pengisian (recharging) yang akan diterapkan pada prototype ganesha electric generasi II UNDIKSHA. Penelitian pengembangan desain ini menggunakan perangkat lunak Solidworks 2018, tujuan penelitian ini antara lain (1) untuk mengetahui bagaimana cara perancangan free energy generator, (2) untuk mengetahui tingkat kelayakan desain berdasarkan penilaian dari ahli materi, (3) untuk mengetahui tingkat kelayakan desain berdasarkan uji kelompok kecil dan besar. Penelitian ini menggunakan rancangan Research and Development. Sedangkan untuk model yang digunakan yaitu Quality Function Deployment (QFD). Berdasarkan hasil analisis data yang dilakukan, diperoleh kesimpulan bahwa penelitian pengembangan desain free energy generator berbasis magnet neodymium mendapatkan hasil validasi yaitu (1) hasil tanggapan ahli materi 91% dengan kualifikasi sangat layak, (2) hasil tanggapan kelompok kecil 93,33% dengan kualifikasi sangat layak, dan (3) hasil tanggapan kelompok besar 91,64% dengan kualifikasi sangat layak. Kata Kunci: Listrik, Desain, Free Energy Generator, Recharging.In line with the development of science knowledge, it had been found that the electricity and magnetism have relevance to one another. Magnets in a generation system are located on the generator, where this generator can produce electricity by spinning along with the turbine rotation with the help of energy sources. But apparently, the magnet can also be a source of driving energy for the generator itself. This research was conducted based on the context of the problem. In this case, concerned on the design of free energy generator neodymium magnetic based on the source of electricity as well as the recharging that would be applied to the Ganesha Electric Prototype, Generation II, UNDIKSHA. This design development research used software Solidworks 2018. The purpose of this study were; (1) to find out how to design free energy generators, (2) to determine the level of design feasibility based on the assessment of material experts, (3) to determine the level of design feasibility based on small and large test groups. This study used a design Research and Development. Whereas the model used is Quality Function Deployment (QFD). Based on the results of data analysis conducted, it was concluded that the research development of design free generator neodymium magnetic based on validation results obtained; (1) the results of material expert responses 91% with very decent qualifications, (2) the results of small group responses 93.33% with very decent qualifications, and (3) the results of a large group response of 91.64% with very decent qualifications. Keywords: Electricity, Design, Free Energy Generator, Recharging

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Koksal, Ahmet Sertol, Orhan Er, Hayrettin Evirgen, and Nejat Yumusak. "A secure communication using cascade chaotic computing systems on clinical decision support." Biomedical Engineering / Biomedizinische Technik 61, no. 3 (2016): 323–29. http://dx.doi.org/10.1515/bmt-2014-0094.

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Abstract Clinical decision support systems (C-DSS) provide supportive tools to the expert for the determination of the disease. Today, many of the support systems, which have been developed for a better and more accurate diagnosis, have reached a dynamic structure due to artificial intelligence techniques. However, in cases when important diagnosis studies should be performed in secret, a secure communication system is required. In this study, secure communication of a DSS is examined through a developed double layer chaotic communication system. The developed communication system consists of four main parts: random number generator, cascade chaotic calculation layer, PCM, and logical mixer layers. Thanks to this system, important patient data created by DSS will be conveyed to the center through a secure communication line.

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de Ridder, Sander, and Jeroen A. M. Beliën. "The iCRF Generator: Generating interoperable electronic case report forms using online codebooks." F1000Research 9 (February 4, 2020): 81. http://dx.doi.org/10.12688/f1000research.21576.1.

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Semantic interoperability of clinical data is essential to preserve its meaning and intent when the data is exchanged, re-used or integrated with other data. Achieving semantic operability requires the use of a communication standard, such as HL7, as well as (functional) information standards. Manually mapping clinical data to a medical thesaurus, such as SNOMED CT, is complicated and requires expert knowledge of both the dataset, including its context, and the thesaurus. As an alternative, the (re-)use of codebooks, data definitions which may already have been mapped to a thesaurus, can be a viable approach. We’ve developed the iCRF Generator, a Java program that can generate the core of an interoperable electronic case report form (iCRF) for several of the major electronic data capture systems (EDCs). To build their CRFs, users can select one or more items from established codebooks, available from an online system called ART-DECOR. By providing an easy to use method to create CRFs for multiple EDCs based on the same codebooks, interoperability can be more easily attained.

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de Ridder, Sander, and Jeroen A. M. Beliën. "The iCRF Generator: Generating interoperable electronic case report forms using online codebooks." F1000Research 9 (March 23, 2020): 81. http://dx.doi.org/10.12688/f1000research.21576.2.

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Semantic interoperability of clinical data is essential to preserve its meaning and intent when the data is exchanged, re-used or integrated with other data. Achieving semantic operability requires the use of a communication standard, such as HL7, as well as (functional) information standards. Manually mapping clinical data to a medical thesaurus, such as SNOMED CT, is complicated and requires expert knowledge of both the dataset, including its context, and the thesaurus. As an alternative, the (re-)use of codebooks, data definitions which may already have been mapped to a thesaurus, can be a viable approach. We’ve developed the iCRF Generator, a Java program that can generate the core of an interoperable electronic case report form (iCRF) for several of the major electronic data capture systems (EDCs). To build their CRFs, users can select one or more items from established codebooks, available from an online system called ART-DECOR. By providing an easy to use method to create CRFs for multiple EDCs based on the same codebooks, interoperability can be more easily attained.

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Zaltron, Nicola, Luisa Zurlo, and Sebastian Risi. "CG-GAN: An Interactive Evolutionary GAN-Based Approach for Facial Composite Generation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (2020): 2544–51. http://dx.doi.org/10.1609/aaai.v34i03.5637.

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Facial composites are graphical representations of an eyewitness's memory of a face. Many digital systems are available for the creation of such composites but are either unable to reproduce features unless previously designed or do not allow holistic changes to the image. In this paper, we improve the efficiency of composite creation by removing the reliance on expert knowledge and letting the system learn to represent faces from examples. The novel approach, Composite Generating GAN (CG-GAN), applies generative and evolutionary computation to allow casual users to easily create facial composites. Specifically, CG-GAN utilizes the generator network of a pg-GAN to create high-resolution human faces. Users are provided with several functions to interactively breed and edit faces. CG-GAN offers a novel way of generating and handling static and animated photo-realistic facial composites, with the possibility of combining multiple representations of the same perpetrator, generated by different eyewitnesses.

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Nuzillard, Jean-Marc, and Vicente de Paulo Emerenciano. "Automatic Structure Elucidation through Data Base Search and 2D NMR Spectral Analysis." Natural Product Communications 1, no. 1 (2006): 1934578X0600100. http://dx.doi.org/10.1177/1934578x0600100111.

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This work shows how two expert systems, LSD and SISTEMAT, can be used together to solve structure elucidation problems that were selected from recent literature articles. The LSD system is a structure generator that mainly relies on homo- and heteronuclear 2D NMR data. It lacks the knowledge of chemical shift values and of natural product chemistry. Conversely, the SISTEMAT data base contains about 20000 natural compounds and refers to both their 13C NMR chemical shifts and their botanical origin. When exploited by dedicated computer programs it yields structural constraints such as skeletal types and ring systems. The botanical and spectroscopic data in SISTEMAT proved to be very complementary in the constraints extraction process. Several application examples of the proposed methodology are described in detail.

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Pronyakin, V. I., and L. Kh Minyazeva. "Phase-chronometric diagnostic system for main drive of rolling mill." Ferrous Metallurgy. Bulletin of Scientific , Technical and Economic Information 77, no. 6 (2021): 704–10. http://dx.doi.org/10.32339/0135-5910-2021-6-704-710.

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At present at the diagnostic of metallurgical equipment state, expert methods of evaluation are prevailed which have subject character. To solve the problem of information-metrological support of rolling mill stand effectively, a phase-chronometric method was proposed, elaborated in N.E. Bauman Moscow State Technical University. It was shown that increase of quality of measuring diagnostical information is provided by transfer from amplitude to chronometric scale and means of its realization at relative errors about 5×10‒4 % at the industrial frequency. At the phase-chronometric method, precision measuring of time intervals, correspondent to the phases intervals of the working cycle is used, depending on characteristic features of motion of a mechanism elements. In contrast to vibro-diagnostic method, by using the phase-chronometric method, the change of operation mode of rolling equipment can be defined hundred times quicker. Cyclicity of a mechanism motion and minimal scattering of measurement results at accomplishing working cycle enable to reveal stable in time diagnostic features and individual quantitative parameters values, which characterize technical state of a rolling mill. The proposed phase-chronometric system consists of an angle sensor of position (incremental encoder), system of information collection and defining of time intervals and personal computer with application software. The system of information collection and defining of time intervals is realized based on a plate, functionally uniting high-stability pulse generator, scale convertor, counter, measuring pulse generator and chrono-comparator. The embedded systems to realize the phase-chonometric metod are simple and reliable in operation. To realize the phase-chronometric method, a mathematical model was elaborated, comprising a system of differential equations, describing interaction of the package of interrelated multi-mass torsion systems. It was showed that verified mathematical model enabled quickly to reveal defects in a rolling mill operation.

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Gencer, Altan. "Analysis and Control of Fault Ride-Through Capability Improvement for Wind Turbine Based on a Permanent Magnet Synchronous Generator Using an Interval Type-2 Fuzzy Logic System." Energies 12, no. 12 (2019): 2289. http://dx.doi.org/10.3390/en12122289.

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Recently, wind energy conversion systems in renewable energy sources have attracted attention due to their effective application. Wind turbine systems have a complex structure; however, traditional control systems are inadequate in answering the demands of complex systems. Therefore, expert control systems are applied to wind turbines, such as type-1 and interval type-2 fuzzy logic control (IT-2 FLC) systems. An IT-2 FLC system is used to solve the complexity of the wind turbine system and increases the efficiency of the wind turbine. This paper proposes a new control approach using the IT-2 FLC method applied to a wind turbine based on a permanent magnet synchronous generator (PMSG) to improve the transient stability during grid faults. An IT-2 FLC was designed to enhance the fault ride-through performance of a wind turbine and was implemented to control the machine side converter and grid side converter of a wind turbine. The proposed algorithm performance of a wind turbine based on a PMSG was investigated for different types of grid fault. The analysis results verify that the interval type-2 fuzzy logic control system is robustly utilized under different operational conditions.

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White, Michael, Robert A. J. Clark, and Johanna D. Moore. "Generating Tailored, Comparative Descriptions with Contextually Appropriate Intonation." Computational Linguistics 36, no. 2 (2010): 159–201. http://dx.doi.org/10.1162/coli.09-023-r1-08-002.

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Generating responses that take user preferences into account requires adaptation at all levels of the generation process. This article describes a multi-level approach to presenting user-tailored information in spoken dialogues which brings together for the first time multi-attribute decision models, strategic content planning, surface realization that incorporates prosody prediction, and unit selection synthesis that takes the resulting prosodic structure into account. The system selects the most important options to mention and the attributes that are most relevant to choosing between them, based on the user model. Multiple options are selected when each offers a compelling trade-off. To convey these trade-offs, the system employs a novel presentation strategy which straightforwardly lends itself to the determination of information structure, as well as the contents of referring expressions. During surface realization, the prosodic structure is derived from the information structure using Combinatory Categorial Grammar in a way that allows phrase boundaries to be determined in a flexible, data-driven fashion. This approach to choosing pitch accents and edge tones is shown to yield prosodic structures with significantly higher acceptability than baseline prosody prediction models in an expert evaluation. These prosodic structures are then shown to enable perceptibly more natural synthesis using a unit selection voice that aims to produce the target tunes, in comparison to two baseline synthetic voices. An expert evaluation and f0 analysis confirm the superiority of the generator-driven intonation and its contribution to listeners' ratings.

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Huirem, Boris, and Pradeepta Kumar Sahoo. "Thermodynamic Modeling and Performance Optimization of a Solar-Assisted Vapor Absorption Refrigeration System (SAVARS)." International Journal of Air-Conditioning and Refrigeration 28, no. 01 (2020): 2050006. http://dx.doi.org/10.1142/s2010132520500066.

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A thermodynamic steady-state model for a single-effect lithium bromide–water (LiBr-H2O)-based vapor absorption refrigeration system of 17.5[Formula: see text]kW capacities has been presented using the first and second laws of thermodynamics. The mass, energy and exergy balance equations in each component of the vapor absorption cycle have been fitted into a computer program to carry out the calculation using the thermo-physical properties of the working fluid. The performance parameters such as coefficient of performance (COP), exergy coefficient of performance (ECOP), total exergy destruction (TED), etc. have been evaluated considering different temperatures in generator and evaporator, different LiBr concentrations in the weak and strong LiBr-H2O solution and different solution heat exchanger effectiveness. The model evaluated the optimum performance parameters like COP, ECOP, TED, etc. of the vapor absorption system by using Design Expert-12 software for an application like on-farm cooling or transit storage of fruits and vegetables.

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Egorushkov, M. Yu, V. Yu Ivanov, A. A. Murugov, and A. V. Sheverdin. "High efficiency gas-turbine power generator GTU-2U." Power and Autonomous equipment 2, no. 4 (2020): 185–95. http://dx.doi.org/10.32464/2618-8716-2019-2-4-185-195.

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Introduction: the analysis of the main areas of energy transition (energie wende) from fossil fuels and nuclear power generation to renewable sources of energy has identified the following four key problems: electric power shortage; ageing of power generation facilities; insufficient infrastructure; growing demand for gas fuel. In Russia, distributed small-scale power generation facilities serve those consumers who have no access to centralized power supply or network channels of regular power generation. A combination of versatile approaches to electric power generation should be applied in the course of designing a specific energy generation facility in this context.Methods: the research project represents an analysis of the works written by the leading Russian and foreign researchers specializing on power engineering, namely, energy supply to consumers. The expert assessment method has identified the niches which are best fitted by gas turbine facilities. Computerized and simulation modeling techniques were used to perform the analytical and statistical processing of the project findings.Results and discussion: the trend for the structural improvement of small-scale liquefied natural gas facilities has been identified in the course of the research. The author has substantiated development of systems for power supply to smallcapacity liquefied natural gas production facilities. The proposed gas turbine GTU-2U is designated for generation of electric energy, if in operation as a standalone facility as part of a centralized heating and power plant in the standalone mode of operation, or in case of concurrent operation along with an energy generation system within the framework of distributed small capacity networks. The co-authors have substantiated the unit’s practical application and identified the GTU-2U distribution market both in Russia and abroad: small capacity distributed power generation industry and power supply to small-capacity liquefied natural gas production facilities. The latter is a relatively new market which is in the process of proactive development both in mature and developing economies. This power supply pattern will enable to monetize gas deposits, located far from pipelines and to supply gas to hard-to-access regions.Conclusion: the key trends in the development of the contemporary power generation industry are considered in the article. Gas turbine unit GTU-2U has been designed. This unit is capable of generating power both as a standalone facility, as a component of a centralized heating and power plant in the standalone mode of operation, or in case of concurrent operation along with an energy generation system. Its strengths substantiate its practical application both in the Russian and international power generation markets.

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Shebanina, Olena. "Staffing for innovation and investment development ofagro-industrial complex." Management Theory and Studies for Rural Business and Infrastructure Development 37, no. 2 (2015): 275–85. http://dx.doi.org/10.15544/mts.2015.25.

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A modern level of preparation of specialists is the basic condition of possibility for innovative development and economy growth of agro-industrial complex. Exceptionally new connections between a production, science and education are in high demand. The system of regional higher agrarian universities must perform as a generator of innovative scientific ideas and as a realization of innovative-investment projects for development. The analysis of agrarian science potential is conducted and priority industries of investments for peopleware are set. By means of expert method the system of estimation of personnel in agrarian field has been worked out and shaped that takes into account two constituents – intellectual and labour. Each employee except professional qualities must have a capacity for the innovative thinking. The new approaches to the personnel selection will allow activating innovative activities of enterprises.

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Ekpoudom, II, IE Archibong, and UT Itaketo. "SPEED CONTROL OF DC MOTOR ON LOAD USING FUZZY LOGIC CONTROLLER (A CASE STUDY OF EMERGENCY LUBE OIL PUMP MOTOR OF H25 HITACHI TURBINE GENERATOR)." Nigerian Journal of Technology 36, no. 3 (2017): 867–75. http://dx.doi.org/10.4314/njt.v36i3.29.

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This paper presents the development of a fuzzy logic controller for the driver DC motor in the lube oil system of the H25 Hitachi gas turbine generator. The turbine generator is required to run at an operating pressure of 1.5bar with the low and the high pressure trip points being 0.78 bar and 1.9 bar respectively. However, the driver DC motor speed drifted from the desired speed of 1450 revolutions per minutes (rpm) to as low as 1414 rpm. It is against this backdrop, that this project work was envisaged to design a controller capable of controlling the speed of the DC motor in order to achieve the desired speed rating of 1450 rpm. In modelling the motor, the transfer function method was used to develop a linear approximation to the actual motor. After computing the total inertia of the motor shaft, the motor model was simulated for the speed response in MATLAB and Simulink environment, and the response showed that the motor attained an actual maximum speed of 1414 rpm at settling time of 0.3 seconds.Â Based on expert knowledge of the lube oil system, a fuzzy logic controller was designed and this resulted in the issuance of a control action to correct the actual speed of the motor from 1414 rpm to the desired speed of 1450 rpm. Â http://dx.doi.org/10.4314/njt.v36i3.29

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Kustra, Todd W., Subhashini Ganapathy, Amanda C. Muller, and S. Narayanan. "Decision Support System for Logistics Systems Analysis Using Image Theory and Work Domain Analysis." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 2, no. 2 (2005): 71–85. http://dx.doi.org/10.1177/154851290500200203.

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In this study, image theory and work domain analysis were used to develop an interactive decision support system for sortie generation tasks in an Air Force aircraft maintenance unit. Aircraft maintenance personnel were charged with creating a short list of aircraft for deployment using either maintenance information alone or maintenance information with the interactive decision support system. Results were compared with a deployment list developed by expert aircraft maintenance superintendents. The deployment lists generated with the interactive decision support system more closely resembled the experts' list and took less time to create than those generated using maintenance information alone. These results show the viability of the methodology outlined in this study for creating decision support systems in complex logistics planning.

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Wills, Graham, and Leland Wilkinson. "AutoVis: Automatic Visualization." Information Visualization 9, no. 1 (2008): 47–69. http://dx.doi.org/10.1057/ivs.2008.27.

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AutoVis is a data viewer that responds to content–text, relational tables, hierarchies, streams, images–and displays the information appropriately (that is, as an expert would). Its design rests on the grammar of graphics, scagnostics and a modeler based on the logic of statistical analysis. We distinguish an automatic visualization system (AVS) from an automated visualization system. The former automatically makes decisions about what is to be visualized. The latter is a programming system for automating the production of charts, graphs and visualizations. An AVS is designed to provide a first glance at data before modeling and analysis are done. AVS is designed to protect researchers from ignoring missing data, outliers, miscodes and other anomalies that can violate statistical assumptions or otherwise jeopardize the validity of models. The design of this system incorporates several unique features: (1) a spare interface–analysts simply drag a data source into an empty window, (2) a graphics generator that requires no user definitions to produce graphs, (3) a statistical analyzer that protects users from false conclusions, and (4) a pattern recognizer that responds to the aspects (density, shape, trend, and so on) that professional statisticians notice when investigating data sets.

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Parry, James D., and Alan M. Hofmeister. "Development and Validation of an Expert System for Special Educators." Learning Disability Quarterly 9, no. 2 (1986): 124–32. http://dx.doi.org/10.2307/1510361.

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The authors describe the development and initial validation of a computer-based expert system, Mandate Consultant (Parry, 1985), designed to review the regulatory procedures for developing Individual Education Programs (IEP). The formative process involved three phases: (a) definition of need and proposed solution, (b) design of a prototype, and (c) progressive refinement through field-testing and revision cycles. The summative component included a two-phase experimental design for validating the accuracy of expert system output through comparisons with human experts. The findings indicated that the expert system-generated conclusions matched the conclusions of the “better” human experts, and were considered more appropriate than the conclusions of the majority of experts. Furthermore, “blinded” evaluators judged the expert system-generated conclusions as being equally acceptable as those produced by the “better” human experts, and more acceptable than those of the majority of experts.

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Vera-García, Francisco, José Antonio Pagán Rubio, José Hernández Grau, and Daniel Albaladejo Hernández. "Improvements of a Failure Database for Marine Diesel Engines Using the RCM and Simulations." Energies 13, no. 1 (2019): 104. http://dx.doi.org/10.3390/en13010104.

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Diesel engines are widely used in marine transportation as a direct connection to the propeller and as electrical principal or auxiliary generator sets. The engine is the most critical piece of equipment on a vessel platform; therefore, the engine’s reliability is paramount in order to optimize safety, life cycle costs, and energy of the boat, and hence, vessel availability. In this paper, the improvements of a failure database used for a four-stroke high-speed marine diesel engine are discussed. This type of engine is normally used in military and civil vessels as the main engine of small patrols and yachts and as an auxiliary generator set (GENSET) for larger vessels. This database was assembled by considering “failure modes, effects, and criticality analysis (FMECA),” as well as an analysis of the symptoms obtained in an engine failure simulator. The FMECA was performed following the methodology of reliability-centered maintenance (RCM), while the engine response against failures was obtained from a failure simulator based on a thermodynamic one-dimensional model created by the authors, which was adjusted and validated with experimental data. The novelty of this work is the methodology applied, which combines expert knowledge of the asset, the RCM methodology, and the failure simulation to obtain an accurate and reliable database for the prediction of failures, which serves as a key element of a diesel engine failure diagnosis system.

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Journal articles on the topic 'EXPERT SYSTEM GENERATOR'

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