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Artykuły w czasopismach na temat „Fuzzy logic – Industrial applications – Congresses”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 6 lutego 2022

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1

Barrett, J. Douglas. "Advanced Fuzzy Logic Technologies in Industrial Applications." Technometrics 49, no. 4 (November 2007): 494–95. http://dx.doi.org/10.1198/tech.2007.s689.

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Bonissone, P. P., V. Badami, K. H. Chiang, P. S. Khedkar, K. W. Marcelle, and M. J. Schutten. "Industrial applications of fuzzy logic at General Electric." Proceedings of the IEEE 83, no. 3 (March 1995): 450–65. http://dx.doi.org/10.1109/5.364490.

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Meier, Willi, Richard Weber, and Hans-Jurgen Zimmermann. "Fuzzy data analysis — Methods and industrial applications." Fuzzy Sets and Systems 61, no. 1 (January 1994): 19–28. http://dx.doi.org/10.1016/0165-0114(94)90280-1.

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Turc, Cristian Gheorghe, and George Belgiu. "Fuzzy Logic Applications in Flanges Manufacturing." Advanced Materials Research 837 (November 2013): 223–27. http://dx.doi.org/10.4028/www.scientific.net/amr.837.223.

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The industrial engineering experts consider the product early design stage as one of the most important stage of the design process, because it influences all stages of the product life cycle. One of the capital questions for manufacturing or design engineering people is how simple or elaborated work piece to use for a given part, in a specific set of production conditions. The optimization problem consists of the choosing of the right work piece for the current production conditions. In many cases this problem is solved empirically, based on the experience of the manufacturer. This approach l

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Turc, Cristian Gheorghe, Felicia Banciu, and George Belgiu. "Fuzzy Logic Applications in Gears Manufacturing." Advanced Materials Research 1036 (October 2014): 1028–32. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.1028.

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The experts of industrial design field consider the product early design stage as one of the most important stage of the design process, because it influences all stages of the product life cycle. One of the capital questions for manufacturing or design engineering people is how simple or elaborated work piece to use for a given part, in a specific set of production conditions. The optimization problem consists of the choosing of the right work piece for the current production conditions. In many cases this problem is solved empirically, based on the experience of the manufacturer. This approa

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Efstathiou, Janet. "Applications of fuzzy set methodologies in industrial engineering." Fuzzy Sets and Systems 36, no. 3 (July 1990): 405. http://dx.doi.org/10.1016/0165-0114(90)90116-n.

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Karwowski, Waldemar, and Anil Mital. "Potential applications of fuzzy sets in industrial safety engineering." Fuzzy Sets and Systems 19, no. 2 (June 1986): 105–20. http://dx.doi.org/10.1016/0165-0114(86)90031-x.

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Rana, Sudesh. "DEVELOPMENT OF PID LIKE FLC ALGORITHM FOR INDUSTRIAL APPLICATIONS." International Journal of Engineering Technologies and Management Research 2, no. 1 (January 29, 2020): 12–22. http://dx.doi.org/10.29121/ijetmr.v2.i1.2015.26.

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Now a day, in many industries different types of controllers (PD, PID, PLC, FLC etc.) are used. One of them is fuzzy logic controller. Here we develop a PID like fuzzy logic controller for industrial application, such application is water purification plant. For developing the PID like FLC, first we have to design a PID algorithm than we develop an algorithm for fuzzy logic controller. By comparing this two of controller we will develop a PID like FLC. A simple PID controller is sum of three type of controller proportional, integral and derivative controller, after simulated on MATLAB. Same ca

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Katayama, Ryu. "Applications of Neuro Fuzzy Technology in Consumer Electronics Products." Journal of Robotics and Mechatronics 7, no. 1 (February 20, 1995): 2–8. http://dx.doi.org/10.20965/jrm.1995.p0002.

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In recent years, intelligent industrial systems and consumer electronic products have been widely and intensively developed. Fuzzy logic, neural network, and neuro fuzzy technology, which integrates both approaches, are now regarded as an effective method to realize such intelligent features. In this paper, a review of the fuzzy boom in the consumer electronics market of Japan is presented. Typical applications of home appliances using fuzzy logic and neuro fuzzy technology are then described. Finally, methods and tools for developing fuzzy systems such as self-tuning and fuzzy modeling are re

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Sultan. "Development of Software Reliability Growth Models for Industrial Applications Using Fuzzy Logic." Journal of Computer Science 7, no. 10 (October 1, 2011): 1574–80. http://dx.doi.org/10.3844/jcssp.2011.1574.1580.

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Profumo, Francesco, Peter Kosc, and Viliam Fedak. "AC Drives for high Performance Applications Using Fuzzy Logic Controllers." IEEJ Transactions on Industry Applications 114, no. 7/8 (1994): 734–40. http://dx.doi.org/10.1541/ieejias.114.734.

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Rafibakhsh, Nima, H. Felix Lee, Jie Gong, Hoo Sang Ko, and Arefeh Mohammadi. "Applying Fuzzy Logic for Optimal Placement of XBOX Kinect Sensors for Industrial Applications." Advanced Materials Research 628 (December 2012): 433–39. http://dx.doi.org/10.4028/www.scientific.net/amr.628.433.

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Automated acquisition of sensing data is an active research area in manufacturing domain. A great deal of research work has been focused on automated data acquisitionapplied to various subjects related to manufacturing operations such as safety, performance improvement, monitoring and layout planning. Laser scanners including Time of Flight cameras play a significant role in real time or near real time decision makings in manufacturing automation. To establish an automated sensing system in a work place, enough test data should be available regarding the performance characteristics. This paper

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Mohaghegh, Shahab. "Virtual-Intelligence Applications in Petroleum Engineering: Part 3—Fuzzy Logic." Journal of Petroleum Technology 52, no. 11 (November 1, 2000): 82–87. http://dx.doi.org/10.2118/62415-jpt.

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Lehal, Manpreet Singh. "Fuzzy in the Real World." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 7, no. 1 (May 30, 2013): 473–77. http://dx.doi.org/10.24297/ijct.v7i1.3476.

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The Fuzzy Logic tool was introduced in 1965, by LotfiZadeh, and is a mathematical tool for dealing with uncertainty. It offers to a soft computing partnership the important concept of computing with words. It provides a technique to deal with imprecision and information granularity. Fuzzy Logic (FL) is a multi valued logic that allows intermediate values to be defined between conventional evaluations like true/false, yes/no, high/low, etc. Notions like rather tall or very fast can be formulated mathematically and processed by computers, in order to apply a more human like way of thinking in th

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15

Ordoobadi, Sharon M. "Fuzzy logic and evaluation of advanced technologies." Industrial Management & Data Systems 108, no. 7 (August 22, 2008): 928–46. http://dx.doi.org/10.1108/02635570810898008.

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Khalifa, Banafsj, Ahmed Khedr, Zaher Al Aghbari, and Jemal Abawajy. "Fuzzy logic approach to repair coverage holes in internet of things monitoring applications." IET Wireless Sensor Systems 9, no. 4 (August 1, 2019): 227–35. http://dx.doi.org/10.1049/iet-wss.2018.5174.

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LEUNG, F. H. F., L. K. WONG, P. K. S. TAM, and H. K. LAM. "REALIZATION OF ANALOG FUZZY LOGIC CONTROL FOR PWM BOOST CONVERTERS." Journal of Circuits, Systems and Computers 08, no. 03 (June 1998): 411–19. http://dx.doi.org/10.1142/s0218126698000213.

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Fuzzy logic controllers (FLCs) have been widely used in many applications. However, they are usually implemented digitally by expensive digital signal processors (DSPs), and the performance is restricted by the sampling period. These disadvantages have limited the applications of FLCs to industrial systems such as switch mode power converters. In this paper, an analog FLC implemented by low-cost devices is proposed. Through analog circuitry, features such as membership function shaping, rule inference and defuzzification are realized. The controller is successfully applied to regulate a PWM bo

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Bilkay, O., O. Anlagan, and S. E. Kilic. "Job shop scheduling using fuzzy logic." International Journal of Advanced Manufacturing Technology 23, no. 7-8 (April 1, 2004): 606–19. http://dx.doi.org/10.1007/s00170-003-1771-2.

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Apen, Ajisman, Ker Shao Jiun, and Siti Nursyuhada Mahsahirun. "Fuzzy Logic Controller Implementation on Separately Excited DC-Motor." ICONIET PROCEEDING 2, no. 3 (February 13, 2019): 134–43. http://dx.doi.org/10.33555/iconiet.v2i3.25.

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Various industrial and domestic applications such as automotive, aerospace,appliances and many others are electrically driven. Conventional methods of motor control had failed to produce desired performance of DC-motor due the system parameters variation and load changes. The Fuzzy-Logic-controller is one of the controllers that can handle non-linear system. This project is aimed to control the speed of a separately-excited DC-motor using fuzzy logic control. The system is simulated on MATLAB-Simulink and implemented on ARDUINO Uno development board.

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Tay, Kai Meng, and Chee Peng Lim. "On the use of fuzzy inference techniques in assessment models: part II: industrial applications." Fuzzy Optimization and Decision Making 7, no. 3 (June 25, 2008): 283–302. http://dx.doi.org/10.1007/s10700-008-9037-y.

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CHABNI, Fayçal, Rachid TALEB, Abderrahmen BENBOUALI, and Mohammed Amin BOUTHIBA. "Digital Control Fuzzy Logic for a Water Tank Level Using Arduino." Algerian Journal of Signals and Systems 1, no. 1 (February 1, 2021): 2–10. http://dx.doi.org/10.51485/ajss.v1i1.12.

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Fuzzy logic control has been successfully utilized in various industrial applications; it is generally used in complex control systems, such as chemical process control. Today, most of fuzzy logic controls are still implemented on expensive high performance processors. This paper analyzes the effectiveness of a fuzzy logic control using a low cost controller applied to water level control system. The paper also gives a low cost hardware solution and practical procedure for system identification and control. We started, first by identifying the process to obtain its mathematical model. Then we

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Dzitac, Ioan, Florin Gheorghe Filip, and Misu-Jan Manolescu. "Fuzzy Logic Is Not Fuzzy: World-renowned Computer Scientist Lotfi A. Zadeh." International Journal of Computers Communications & Control 12, no. 6 (December 4, 2017): 748. http://dx.doi.org/10.15837/ijccc.2017.6.3111.

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In 1965 Lotfi A. Zadeh published "Fuzzy Sets", his pioneering and controversialpaper, that now reaches almost 100,000 citations. All Zadeh’s papers were citedover 185,000 times. Starting from the ideas presented in that paper, Zadeh foundedlater the Fuzzy Logic theory, that proved to have useful applications, from consumerto industrial intelligent products. We are presenting general aspects of Zadeh’s contributionsto the development of Soft Computing(SC) and Artificial Intelligence(AI),and also his important and early influence in the world and in Romania. Severalearly contributions in fuzzy s

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García-Martínez, José R., Edson E. Cruz-Miguel, Roberto V. Carrillo-Serrano, Fortino Mendoza-Mondragón, Manuel Toledano-Ayala, and Juvenal Rodríguez-Reséndiz. "A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications." Sensors 20, no. 18 (September 17, 2020): 5323. http://dx.doi.org/10.3390/s20185323.

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Motion control is widely used in industrial applications since machinery, robots, conveyor bands use smooth movements in order to reach a desired position decreasing the steady error and energy consumption. In this paper, a new Proportional-Integral-Derivative (PID) -type fuzzy logic controller (FLC) tuning strategy that is based on direct fuzzy relations is proposed in order to compute the PID constants. The motion control algorithm is composed by PID-type FLC and S-curve velocity profile, which is developed in C/C++ programming language; therefore, a license is not required to reproduce the

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Muñoz, Maria J., Juana M. Rivera, and Jose M. Moneva. "Evaluating sustainability in organisations with a fuzzy logic approach." Industrial Management & Data Systems 108, no. 6 (June 27, 2008): 829–41. http://dx.doi.org/10.1108/02635570810884030.

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Kannamma, R., and K. S. Umadevi. "Neuro-Fuzzy-Based Frame Pre-Emption Using Time-Sensitive Networking for Industrial Ethernet." Journal of Information & Knowledge Management 20, Supp01 (February 2021): 2140008. http://dx.doi.org/10.1142/s0219649221400086.

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IEEE802.1 Time-Sensitive Networking (TSN) makes it conceivable to convey the data traffic of time as well as critical applications using Ethernet shared by different applications having diversified Quality of Service (QoS) requirements for both TSN and non-TSN. TSN assures a guaranteed data delivery with limited latency, low jitter, and amazingly low loss of data for time-critical traffic. By holding networking resources for basic traffic, and applying different queuing and traffic shaping strategies, TSN accomplishes zero congestion loss for basic time-critical traffic. In proposed system, ba

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A. Ali, Methaq, Abbas H. Miry, and Tariq M. Salman. "IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN CONTROLLING THE TEMPERATURE OF INDUSTRIAL PANEL." Journal of Engineering and Sustainable Development 25, no. 01 (January 1, 2021): 92–99. http://dx.doi.org/10.31272/jeasd.25.1.8.

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Artificial intelligence has been widely used in various applications such as health and safety, smart homes, greenhouses, and industrial application. It has been increasingly utilized in the industry owing to its benefits in terms of enhancing the overall performance of a given system. This study appeared from a real need in many local industries. In this paper, a prototype system has been implemented for artificial control on the temperature of the industrial panel. The paper includes two control systems executed; classical PID (Proportional Integral Derivative) and fuzzy logic with a compari

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Podržaj, Primož, and Samo Simončič. "Resistance spot welding control based on fuzzy logic." International Journal of Advanced Manufacturing Technology 52, no. 9-12 (July 3, 2010): 959–67. http://dx.doi.org/10.1007/s00170-010-2794-0.

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Rehman, Waheed UR, Yuanxin Luo, Yongqin Wang, Guiyun Jiang, Nadeem Iqbal, Shafiq UR Rehman, and Shamsa Bibi. "Fuzzy logic–based intelligent control for hydrostatic journal bearing." Measurement and Control 52, no. 3-4 (March 2019): 229–43. http://dx.doi.org/10.1177/0020294019830110.

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Most of the researchers are focusing to bring automation in mechanical systems. So, current research work presents a mechatronic system called active hydrostatic journal bearing that is a higher demand of fast-growing industrial needs. The objective is to improve the dynamics and static characteristics of hydrostatic journal bearing. To achieve the objective, a feedback servo controlled system is presented. A mathematical model is proposed for newly proposed active hydrostatic journal bearing with servo control. A comparison has been performed between the active hydrostatic journal bearing and

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Scheffler, Michael, Riccardo Rovatti, and Alberto Bellini. "A Development Tool for Analog Fuzzy Controllers: Features and Applications." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 06, no. 02 (April 1998): 211–20. http://dx.doi.org/10.1142/s0218488598000197.

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This paper describes an integrated development tool for analog fuzzy controllers which exploits analog hardware implementation and fuzzy logic flexibility to allow an easy and extremely low-cost synthesis of non-linear control laws. The core of the final implementation is a modular general-purpose analog fuzzy engine (AFE) with good speed performance and built-in temperature compensation. To ease field prototyping, a digitally-programmable version of AFE is provided with a software layer computing the biasing voltages needed by the circuit to fit numerical data and/or linguistic rules specifie

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Hadi Amoozgar, Mohammad, Khalil Alipour, and Seyed Hossein Sadati. "A fuzzy logic‐based formation controller for wheeled mobile robots." Industrial Robot: An International Journal 38, no. 3 (May 3, 2011): 269–81. http://dx.doi.org/10.1108/01439911111122770.

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Bilgiç, Hilal, Yusuf Kuvvetli, and Pınar Duru Baykal. "Determination of Difficulty Level for Garment Model with Fuzzy Logic Method." Tekstil ve Mühendis 28, no. 121 (March 31, 2021): 39–47. http://dx.doi.org/10.7216/1300759920212812105.

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The purpose of this study is a rule-based fuzzy logic approach is proposed for determining model difficulty in manufacturing top clothing for ladies. A decision framework concerned with different scenarios (main pattern types and material types) is proposed for determining the model difficulty. Each scenario modeled as a Mamdani type fuzzy inference system which is known as one of the best approximator fuzzy logic models. The fuzzified input variables are unit operation time, second quality rate and fabric weight. Moreover, two different defuzzification methods which are centroid and middle of

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Marques, Gonçalo, Akash Kumar Bhoi, Raksha K. Patel, Himal B. Chitara, and Tejas V. Bhatt. "Fuzzy logic system for diabetic eye morbidity prediction." International Journal of Computer Applications in Technology 64, no. 4 (2020): 339. http://dx.doi.org/10.1504/ijcat.2020.10034780.

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Bhatt, Tejas V., Raksha K. Patel, Himal B. Chitara, Gonçalo Marques, and Akash Kumar Bhoi. "Fuzzy logic system for diabetic eye morbidity prediction." International Journal of Computer Applications in Technology 64, no. 4 (2020): 339. http://dx.doi.org/10.1504/ijcat.2020.112680.

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Arshinder, A. Kanda, and S. G. Deshmukh. "Coordination in supply chains: an evaluation using fuzzy logic." Production Planning & Control 18, no. 5 (June 25, 2007): 420–35. http://dx.doi.org/10.1080/09537280701430994.

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Boubertakh, Hamid, Mohamed Tadjine, Pierre-Yves Glorennec, and Salim Labiod. "A simple goal seeking navigation method for a mobile robot using human sense, fuzzy logic and reinforcement learning." Journal of Automatic Control 18, no. 1 (2008): 23–27. http://dx.doi.org/10.2298/jac0801023b.

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This paper proposes a new fuzzy logic-based navigation method for a mobile robot moving in an unknown environment. This method allows the robot obstacles avoidance and goal seeking without being stuck in local minima. A simple Fuzzy controller is constructed based on the human sense and a fuzzy reinforcement learning algorithm is used to fine tune the fuzzy rule base parameters. The advantages of the proposed method are its simplicity, its easy implementation for industrial applications, and the robot joins its objective despite the environment complexity. Some simulation results of the propos

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Livinti, Petru. "Speed control of the asynchronous motor using LabVIEW." International Journal of ADVANCED AND APPLIED SCIENCES 8, no. 5 (May 2021): 59–66. http://dx.doi.org/10.21833/ijaas.2021.05.007.

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This paper was presented a comparative study on the methods of adjusting the speed of a three-phase asynchronous motor with a rotor in a short circuit. For the same structure of the experimental stand used, two programs were created, implemented, and validated in LabVIEW. For the first method, the program in LabVIEW was made with the PI (proportional-integrative) controller and for the second method, the program in LabVIEW was made with the Fuzzy Logic controller. Following the analysis of the resulting graphs, it was found that the speed control system made with the fuzzy logic controller ens

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Alsammak, Ahmed Nasser, and Hasan Adnan Mohammed. "Power quality improvement using fuzzy logic controller based unified power flow controller." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 1 (January 1, 2021): 1. http://dx.doi.org/10.11591/ijeecs.v21.i1.pp1-9.

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<p>The Power quality of the electrical system is an important issue for industrial, commercial, and housing uses. An increasing request for high quality electrical power and an increasing number of distorting loads had led to increase the consideration of power quality by customers and utilities. The development and use of flexible alternating current transmission system (FACTs) controllers in power transmission systems had led to many applications of these controllers. A unified power flow controller (UPFC) is one of the FACTs elements which is used to control both active and reactive p

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Hilletofth, Per, Movin Sequeira, and Wendy Tate. "Fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions." Industrial Management & Data Systems 121, no. 5 (March 25, 2021): 965–92. http://dx.doi.org/10.1108/imds-05-2020-0290.

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PurposeThis paper investigates the suitability of fuzzy-logic-based support tools for initial screening of manufacturing reshoring decisions.Design/methodology/approachTwo fuzzy-logic-based support tools are developed together with experts from a Swedish manufacturing firm. The first uses a complete rule base and the second a reduced rule base. Sixteen inference settings are used in both of the support tools.FindingsThe findings show that fuzzy-logic-based support tools are suitable for initial screening of manufacturing reshoring decisions. The developed support tools are capable of suggestin

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Huang, S. J., and C. C. Lin. "A Self-Organising Fuzzy Logic Controller for a Coordinate Machine." International Journal of Advanced Manufacturing Technology 19, no. 10 (June 12, 2002): 736–42. http://dx.doi.org/10.1007/s001700200084.

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Zhe, Xu, Gao Junyao, Li Hui, Liu Huaxin, Li Xin, Liu Yi, Sun Wentao, and Zhao Wenxue. "The modeling and controlling of electrohydraulic actuator for quadruped robot based on fuzzy Proportion Integration Differentiation controller." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 14 (January 21, 2014): 2557–68. http://dx.doi.org/10.1177/0954406213519613.

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Hydraulic actuators are widely used in various kinds of industrial applications. High-power density is key parameters for engineering applications especially for quadruped robots applied in the outdoor environment. Therefore, an increasing number of advanced robots are equipped with hydraulic actuators. In this paper, to compensate the inherent nonlinearities and enhance the performance of the quadruped robot, a hybrid fuzzy controller composed of fuzzy logic controller and Proportion Integration Differentiation controller is evaluated both in simulations and experiments. The control strategy

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Touati, Y., and Y. Amirat. "Fuzzy logic controller design methodology for Cartesian robot control." International Journal of Computer Applications in Technology 27, no. 2/3 (2006): 85. http://dx.doi.org/10.1504/ijcat.2006.011135.

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Pandian, A., and R. Dhanasekaran. "Hybrid Anti-Windup Fuzzy PI Controller Based Direct Torque Control of Three Phase Induction Motor." Applied Mechanics and Materials 573 (June 2014): 155–60. http://dx.doi.org/10.4028/www.scientific.net/amm.573.155.

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This paper presents improved Fuzzy Logic Controller (FLC) of the Direct Torque Control (DTC) of Three-Phase Induction Motor (IM) for high performance and torque control industrial drive applications. The performance of the IM using PI Controllers and general fuzzy controllers are meager level under load disturbances and transient conditions. The FLC is extended to have a less computational burden which makes it suitable for real time implementation particularly at constant speed and torque disturbance operating conditions. Hybrid control has advantage of integrating a superiority of two or mor

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Cigolini, R., and T. Rossi. "Evaluating supply chain integration: a case study using fuzzy logic." Production Planning & Control 19, no. 3 (March 17, 2008): 242–55. http://dx.doi.org/10.1080/09537280801916249.

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Ali Lilo, Moneer, and Maath Jasem Mahammad. "Design and implementation of wireless system for vibration fault detection using fuzzy logic." IAES International Journal of Artificial Intelligence (IJ-AI) 9, no. 3 (September 1, 2020): 545. http://dx.doi.org/10.11591/ijai.v9.i3.pp545-552.

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This paper aims at constructing the wireless system for fault detecting and monitoring by computer depending on the wireless and fuzzy logic technique. Wireless applications are utilized to identify, classify, and monitor faults in the real time to protect machines from damage .Two schemes were tested; first scheme fault collected X-Y-Z-axes mode while the second scheme collected Y-axis mode, which is utilized to protect the induction motor (IM) from vibrations fault. The vibration signals were processed in the central computer to reduce noise by signal processing stage, and then the fault was

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Nia, Hossein Farid Ghassem, osheng Hu, and John Q. Gan. "A novel fuzzy logic approach to online exposure time calculation of line scan cameras in industrial inspection." International Journal of Modelling, Identification and Control 21, no. 1 (2014): 8. http://dx.doi.org/10.1504/ijmic.2014.059388.

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Kuo, Hsing-Chia, and Li-Jen Wu. "An image tracking system for welded seams using fuzzy logic." Journal of Materials Processing Technology 120, no. 1-3 (January 2002): 169–85. http://dx.doi.org/10.1016/s0924-0136(01)01155-4.

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Chin, Jih-Hua, Yuan-Ming Cheng, and Jin-Huei Lin. "Improving contour accuracy by Fuzzy-logic enhanced cross-coupled precompensation method." Robotics and Computer-Integrated Manufacturing 20, no. 1 (February 2004): 65–76. http://dx.doi.org/10.1016/j.rcim.2003.06.001.

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Jouili, Khalil, Houssem Jerbi, and Naceur Benhadj Braiek. "An advanced fuzzy logic gain scheduling trajectory control for nonlinear systems." Journal of Process Control 20, no. 4 (April 2010): 426–40. http://dx.doi.org/10.1016/j.jprocont.2010.01.001.

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Arghavani, J., M. Derenne, and L. Marchand. "Prediction of Gasket Leakage Rate and Sealing Performance Through Fuzzy Logic." International Journal of Advanced Manufacturing Technology 20, no. 8 (October 18, 2002): 612–20. http://dx.doi.org/10.1007/s001700200198.

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