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Relevant bibliographies by topics / Dynamic machine

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Academic literature on the topic 'Dynamic machine'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "Dynamic machine"

1

Hwang, Yunn Lin, and Van Thuan Truong. "A Synchronous Approach for Numerical Simulation of Machine Tools." Key Engineering Materials 642 (April 2015): 317–22. http://dx.doi.org/10.4028/www.scientific.net/kem.642.317.

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In this paper, a synchronous approach for dynamic simulation of machine tools is described. Computer Aided Engineering (CAE) method models and analyzes a dynamical parameter prototype of machine tools. In which, the flexible structure, interactive movement, non-linear factor effects as well as characteristics of resonance frequencies and mechanical transfer function are considered. The integrating Finite Element Method (FEM), Multi-Body Dynamics (MBD) and control carries out a solution of machine tools simulation for predicting dynamic machine behaviors. The static analysis and modal analysis of components are presented with sample examples. Cybernetic characteristics like Bode diagram and such a controller are implemented for movement tailors. The synchronous approach deduces a practically technical method for machines tools.

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Feng, Zengming, Fuliang Suo, and Yabing Cheng. "58793 MESHING MECHANISM AND DYNAMIC ANALYSIS OF NEW SILENT CHAIN(Dynamics of Machine Components)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _58793–1_—_58793–5_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._58793-1_.

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Li, Din Geng, Ji Guang Cao, Jun Wen Wang, and Chuan Yao Chen. "The Design and Analysis of a New Type of Vibration Structure." Applied Mechanics and Materials 1-2 (September 2004): 71–80. http://dx.doi.org/10.4028/www.scientific.net/amm.1-2.71.

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In this paper, a new type of vibration structure (i.e. swing frame) of vertical dynamic balancing machine is designed, which is based on the analysis of traditional double-plane vertical dynamic balancing machine’s swing frame. The static unbalance and couple unbalance can be separated effectively by using the new dynamic balancing machine with the new swing frame. The modal and harmonic responses are analyzed by using the ANSYS7.0. By comparing the finite element modal analysis with the experimental modal analysis, the natural frequencies and vibration modes are found out, which can provide the dynamics direction for designing vertical dynamic balancing machine. The new dynamic balancing machine can measure static unbalance and couple unbalance directly, and the influence between them is faint. The practical result indicates that the new vertical dynamic balancing machine is suitable for inertial measurement of flying objects, and can overcome the shortcomings of traditional double-plane vertical dynamic balancing machines, in which the effect of plane-separation is inferior. The vertical dynamic balancing machine with the new vibration structure can be widely used in the future application.

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Zhu, Jian Min, Hai Wei Li, and Zhi Wen Huang. "Grey Correlation Analysis-Based Comprehensive Dynamic Characteristics Evaluation of NC Machine Tool." Advanced Materials Research 479-481 (February 2012): 1230–36. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1230.

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The dynamic characteristics of the NC machine are the important technical indicators of NC machine performance, and the precision of existing machine's dynamic characteristics evaluation analysis that based on structural dynamics modeling and simulation is poor. For this problem, this paper presents NC machine dynamic characteristics evaluation methods based on Grey Correlation Analysis. This method, by measuring the vibration signal of feature points in NC machine and making 1/3 octave spectrum analysis for vibration signal, can obtain the characteristics data sequence of vibration signal. Through the grey correlation analysis method, calculate the relevancy between the characteristics data sequence of each vibration signal and that of ideal dynamic characteristics, and quantitatively evaluate the dynamic characteristics of machine tools according to the size of the grey correlation. Took three same type NC milling machines as study objects, designed the cutting vibration resistance experiments, used this paper's method for the evaluation analysis of the comprehensive dynamic characteristics of NC milling machine, and obtained the evaluation results which is in line with the actual dynamic characteristics of machine tools, and verified the evaluation method of comprehensive dynamic characteristics that proposed in this paper.

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Poll, Hans Günther, José Carlos Zanutto, and Walter Ponge-Ferreira. "Hydraulic Power Plant Machine Dynamic Diagnosis." Shock and Vibration 13, no. 4-5 (2006): 409–27. http://dx.doi.org/10.1155/2006/203834.

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A method how to perform an entire structural and hydraulic diagnosis of prototype Francis power machines is presented and discussed in this report. Machine diagnosis of Francis units consists on a proper evaluation of acquired mechanical, thermal and hydraulic data obtained in different operating conditions of several rotary and non rotary machine components. Many different physical quantities of a Francis machine such as pressure, strains, vibration related data, water flow, air flow, position of regulating devices and displacements are measured in a synchronized way so that a relation of cause an effect can be developed for each operating condition and help one to understand all phenomena that are involved with such kind of machine. This amount of data needs to be adequately post processed in order to allow correct interpretation of the machine dynamics and finally these data must be compared with the expected calculated data not only to fine tuning the calculation methods but also to accomplish fully understanding of the influence of the water passages on such machines. The way how the power plant owner has to operate its Francis machines, many times also determined by a central dispatcher, has a high influence on the fatigue life time of the machine components. The diagnostic method presented in this report helps one to understand the importance of adequate operation to allow a low maintenance cost for the entire power plant. The method how to acquire these quantities is discussed in details together with the importance of correct sensor balancing, calibration and adequate correlation with the physical quantities. Typical results of the dynamic machine behavior, with adequate interpretation, obtained in recent measurement campaigns of some important hydraulic turbines were presented. The paper highlights the investigation focus of the hydraulic machine behavior and how to tailor the measurement strategy to accomplish all goals. Finally some typical recommendations based on the experience obtained on previous diagnostic reports of Francis turbines are performed in order to allow a better and safe operation of these power plant units.

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Weng, Ze Yu, Shao Heng Hu, Nan Nan Zhang, Hong Gang Ding, and Hong Wu You. "Dynamic Analysis of CNC Gantry Surface Grinder by Finite Element Method." Advanced Materials Research 102-104 (March 2010): 339–43. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.339.

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The dynamic characteristics of the grinding machines have an impact on its machining quality and cutting efficiency. In this paper, through the analysis of the structural features of the Large CNC gantry surface grinding machine, the finite element model of structure of the grinder was established on the base of the simplified machine structure, on which carried out its dynamics analysis, obtaining the modal parameters of the orders under different mode shapes. The effect on the dynamic characteristics of machine tools was analyzed under different mode shapes, then the weak link of the surface grinding machine was given, and then how to improve the structural design weakness of surface grinding machine was discussed, all of which provided theoretical basis for improvemental design for the structure of the large CNC gantry surface grinding machine.

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Podymaka, Valeriy. "DYNAMIC CONDITIONS OF COMPENSATED SYNCHRONOUS MACHINE." Science Journal Innovation Technologies Transfer, no. 2019-4 (September 1, 2019): 76–82. http://dx.doi.org/10.36381/iamsti.4.2019.76-82.

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The dynamic behavior of synchronous machine with longitudinal-transverse excitement by maintenance of the rotor overhang corner as equal zero are considered. The given condition is named as compensated and correspond with full compensation of transverse armature reaction by magnetizing force of transverse excitement winding. In such machine is absented the limit of steady-state overload, but active and reactive components of load current are concurrent as projections of load current image vector on orthogonal axes of machine inductor. The research aim is a determination of steady-state stability criterion of compensated synchronous machine working on powerful electrical system. The researches are organized in assumption of inductor current invariance and at neglect of stator windings time constant. The electromagnetic moment expression of longitudinal-transverse excitement synchronous machine in compensated work condition is received as a result of analysis of the spatial vector diagrams and equations. The expression analysis has allowed to find the criterion of rotor creepage stability and to examine the steady-state stability of the machine in different work conditions. It is shown that machines stability factor is defined by not only the reactive power of machine short circuit, but also associated reactive power.

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Dinc, O. S., R. Cromer, and S. J. Calabrese. "Redesigning Mechanical Systems for Low Wear Using System Dynamics Modeling." Journal of Tribology 118, no. 2 (April 1, 1996): 415–22. http://dx.doi.org/10.1115/1.2831318.

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This work describes a method of minimizing wear and extending the life of machinery components and large, complex machine structures by controlling the overall system dynamics. The method consists of the following steps: first, developing a system dynamics model for the entire machine structure using available rigid multi-body dynamic analysis computer codes; second, obtaining dynamic performance data from the system dynamics model for each sliding contact in the actual machine, and feeding this information into a suitable wear model which is either being used or developed for the particular material combination; third, matching the results of the wear prediction with actual machine wear inspection data; and last and most important, returning to the dynamic analysis model and modifying or redesigning the machine to minimize the intensity of the system dynamics, thus extending the wear life of the components. The method is being developed for application to large, complex machines which have numerous sliding contacts. Many of these contacts are at junctions between subcomponents assembled together. These junctions are often designed to accommodate relative motion due to vibration or thermal mismatches. After the initial analyses have been done, both minor and major mechanical design and material changes must be investigated to determine how effectively these could reduce wear. Each successive configuration can be evaluated using the dynamic analysis model. Application of this approach to the mechanical design of a gas turbine combustor reduced the noise level of the entire system and tripled the average machine life.

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Lee, Sang Won, Rhett Mayor, and Jun Ni. "Dynamic Analysis of a Mesoscale Machine Tool." Journal of Manufacturing Science and Engineering 128, no. 1 (June 21, 2005): 194–203. http://dx.doi.org/10.1115/1.2123007.

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Miniaturized machine tools, referred to as mesoscale machine tools (mMTs) henceforth, have been proposed as a way to manufacture micro/mesoscale mechanical components. A thorough study of the dynamic behavior of the mMT is required for the successful development of its machine structure. This paper demonstrates the development of an mMT, the performance evaluation of its mesoscale milling process, and the characterization of its dynamic behavior. The mMT is developed by using an air turbine spindle and three piezoelectric linear stages, and its volumetric size is 150×70×140mm. A series of micro/mesoscale milling experiments are conducted, and the performances in the developed mMT testbed are evaluated. The dynamic characteristics of the mMT can be different from those of conventional machine tools because the mMT is a miniaturized structure and comprises different machine components. Therefore, the effect of the miniaturization of a structure on the change of its dynamic behavior, called scaling law of the structural dynamics, is studied numerically and experimentally. The dynamic characteristics of the developed mMT that are estimated from the scaling law of the structural dynamics are much different from those obtained from an experimental modal analysis, and the flexible joints of the developed mMT are mainly responsible for this significant difference. Therefore, the joint dynamics of the mMT are studied by introducing an equivalent lumped parameter model, thus enabling simple identification of the joint dynamics and the effective modification of its critical joints to enhance a machining performance.

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Ercoli, Liberto, and Salvador La Malfa. "The Development of a Dynamic Balancing Machine." International Journal of Mechanical Engineering Education 26, no. 2 (April 1998): 149–55. http://dx.doi.org/10.1177/030641909802600207.

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A prototype of a dynamic balancing machine has been developed and put to use in the mechanical engineering laboratory of the Faculty. The goal of this project is twofold: first, to cooperate with the Mechanical Engineering Department in offering to industry balancing services for industrial rotors and, secondly, to promote the teaching of static and dynamic, analytical and experimental balancing techniques in both graduate and undergraduate courses. The machine consists of a non-conventional mechanical system presenting some constructive and methodological advantages with respect to the conventional machines. The results achieved when balancing industrial rotors with the prototype are similar to those obtained with the commercial machines available.

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Dissertations / Theses on the topic "Dynamic machine"

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Park, Yongwon Baskiyar Sanjeev. "Dynamic task scheduling onto heterogeneous machines using Support Vector Machine." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SPRING/Computer_Science_and_Software_Engineering/Thesis/Park_Yong_50.pdf.

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Li, Wei. "Dynamic Reconfigurable Machine Tool Controller." BYU ScholarsArchive, 2005. https://scholarsarchive.byu.edu/etd/235.

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This dissertation presents a dynamic reconfigurable control strategy based on the Direct Machining And Control (DMAC) research at Brigham Young University. A reconfigurable framework is proposed which will allow a machine tool to be controlled by a variety of applications and control laws. This Reconfigurable Mechanism for Application Control (RMAC) paradigm uses a hierarchical architecture to configure a mechanism into a device driver for direct control by an application like CAD/CAM. The RMAC paradigm is one of a mechanism device driver assigned to each mechanism class or model, and uses only the master model to control the mechanism. The traditional M&G code language is no longer necessary since motion entities are passed directly to the mechanism. The design strategy of using dynamic-link libraries (DLL) to form a mechanism device driver permits a mechanism to assume different operating configurations, depending on the number of axes and machine resolution. For example, the machine can perform as a material removal machine in one instant, and then, by loading a new device driver, act as a Coordinate Measuring Machine (CMM). This strategy is possible because RMAC is a software and networked-based control architecture. Both the CAD/CAM planning software and the real-time control software reside on the same PC. The CAM process plan can thus directly control the machine without need for process plan decomposition into the forms supported by the controller. The architectural framework is explained in detail and the methodology for control software reconfiguration into a device driver is presented. For demonstration purposes two device drivers are implemented on a prototype machine to demonstrate feasibility and usefulness.

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Filla, Reno. "Operator and Machine Models for Dynamic Simulation of Construction Machinery." Licentiate thesis, Linköping : Linköpings universitet, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4092.

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Bu, Suhol. "Dynamic boundary element analysis of machine foundations." Thesis, University of Glasgow, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295386.

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Kew, Min Shen Peter. "Dynamic analysis of multi-machine electromechanical systems." Thesis, University of Aberdeen, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290341.

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This thesis describes the detailed modelling procedures for d-q axis representation of multi-machine electromechanical systems. It proposes two methods of connecting electrical machine models which have been formulated in various reference frames, to transmission network models. Investigation of these two methods was accomplished, and the effectiveness and merits of each are fully discussed. Conclusions are drawn which form the bases for recommendation of a connection method for developing a generalised multi-machine power system model. In addition two computer programs are written to provide means of simulating both large and limited capacity power systems on personal computers.

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Toulkeridou, Varvara. "Dynamic descriptions : steps towards a design machine." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61561.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 59-61).
This thesis questions which would be a valid approach for building design machine aided by computational intelligence capable of generating surprises for their designers-observers. There have been efforts since the 1960s towards developing frameworks for design machines that were envisioning computational systems as something more than tools for efficient production and representation. Some of them were dealing with design problems as complex systems that needed to be broken down in modular parts, for example Christopher Alexander's "Notes on the Synthesis of Form". However such strategies were associated with explicit languages of descriptions and strong hierarchies, defined in advance by the designer, that were constraining the design space to what these predefined descriptions were anticipating. This thesis draws its motivation from the work of Professor of Design and Computation George Stiny on visual computations operating on non-fixed sets of primitives, as well as from research conducted in the field of Artificial Intelligence on alternative representations. I will propose a framework for a design machine highlighting the importance of it being able to generate its own dynamic descriptions, "entities" that bear content independent of the interpretations of their designers. Inspired by a computational system, developed by Stephen Larson (2003), capable of grounding its own symbols in perception, I will experiment with self-organizing map algorithms suggesting them as a possible way for a design machine to build up and update its language of description from its perceptual information.
by Varvara Toulkeridou.
S.M.

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Höstklint, Niklas, and Jesper Larsson. "Dynamic Test Case Selection using Machine Learning." Thesis, KTH, Hälsoinformatik och logistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296634.

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Testing code is a vital part at any software producing company, to ensure no faulty code slips through that could have detrimental consequences. At Ericsson, testing code before publishing is a very costly process which can take several hours. Currently, every single test is run for all submitted code. This report aims to address the issue by building a machine learning model that determines which tests need to be run, so that unnecessary tests are left out, saving time and resources. It is however important to find the failures, as having certain failures pass through into production could have all types of economic, environmental and social consequences. The result shows that there is great potential in several different types of models. A Linear Regression model found 92% of all failures within running 25% of all test categories. The linear model however plateaus before finding the final failures. If finding 100% of failures is essential, a Support Vector Regression model proved the most efficient as it was the only model to find 100% of failures within 90% of test categories being run.
Testning av kod är en avgörande del för alla mjukvaruproducerande företag, för att säkerställa att ingen felaktig kod som kan ha skadlig påverkan publiceras. Hos Ericsson är testning av kod innan det ska publiceras en väldigt dyr process som kan ta flera timmar. Vid tiden denna rapport skrivs så körs varenda test för all inlämnad kod. Denna rapport har som mål att lösa/reducera problemet genom att bygga en modell med maskininlärning som avgör vilka tester som ska köras, så onödiga tester lämnas utanför vilket i sin tur sparar tid och resurser. Dock är det viktigt att hitta alla misslyckade tester, eftersom att tillåta dessa passera till produktionen kan innebära alla möjliga olika ekonomiska, miljömässiga och sociala konsekvenser. Resultaten visar att det finns stor potential i flera olika typer av modeller. En linjär regressionsmodell hittade 92% av alla fel inom att 25% av alla test kategorier körts. Den linjära modellen träffar dock en platå innan den hittar de sista felen. Om det är essentiellt att hitta 100% av felen, så visade sig en support vector regressionsmodell vara mest effektiv, då den var den enda modellen som lyckades hitta 100% av alla fel inom att 90% alla test kategorier hade körts.

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Refaat, Tarek. "Virtual Machine Management for Dynamic Vehicular Clouds." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35864.

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Vehicular clouds involve a dynamic environment where virtual machines are hosted on moving vehicles, leading to frequent changes in the data center network topology. These frequent topological changes require frequent virtual machine migrations in order to meet the service level agreements with cloud users. Such topology changes include fluctuations in connectivity, signal strength and quality. Few studies address vehicles as potential virtual machine hosts, while there is a significant opportunity in capitalizing on underutilized resources. Due to the rapidly changing environment of a vehicular cloud, hosts frequently change or leave coverage. As such, virtual machine management and migration schemes are necessary to ensure cloud subscribers have a satisfactory level of access to the resources. This thesis addresses the need for virtual machine management for the vehicular cloud. First, a mobility model is proposed and utilized to test a set of novel Vehicular Virtual Machine Migration (VVMM) schemes: VVMM-U (Uniform), VVMM-LW (Least Workload), VVMM-MA (Mobility Aware) and MDWLAM (Mobility and Destination Workload Aware Migration). Their performance is evaluated with respect to a set of metrics through simulations with varying levels of vehicular traffic congestion, virtual machine sizes and load restriction levels. The most advanced scheme (MDWLAM) takes into account the workload and mobility of the original host as well as those of the potential destinations. By doing so a valid destination will both have time to receive the workload and migrate the new load when necessary. The behavior of various algorithms is compared and the MDWLAM has been shown to demonstrate the best performance, exhibiting migration drop rates that are negligibly small. Finally, an integer linear program formulation based on a modified single source shortest path problem is presented, tested and successfully shown to be a benchmark that can be used in comparison to the proposed heuristics.

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Gao, Jian. "Dynamic position sensing for parallel kinematic machine and new generation machine tool." Thesis, University of Nottingham, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268479.

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Rowe, Michael C. (Michael Charles). "A Machine Learning Method Suitable for Dynamic Domains." Thesis, University of North Texas, 1996. https://digital.library.unt.edu/ark:/67531/metadc278720/.

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The efficacy of a machine learning technique is domain dependent. Some machine learning techniques work very well for certain domains but are ill-suited for other domains. One area that is of real-world concern is the flexibility with which machine learning techniques can adapt to dynamic domains. Currently, there are no known reports of any system that can learn dynamic domains, short of starting over (i.e., re-running the program). Starting over is neither time nor cost efficient for real-world production environments. This dissertation studied a method, referred to as Experience Based Learning (EBL), that attempts to deal with conditions related to learning dynamic domains. EBL is an extension of Instance Based Learning methods. The hypothesis of the study related to this research was that the EBL method would automatically adjust to domain changes and still provide classification accuracy similar to methods that require starting over. To test this hypothesis, twelve widely studied machine learning datasets were used. A dynamic domain was simulated by presenting these datasets in an uninterrupted cycle of train, test, and retrain. The order of the twelve datasets and the order of records within each dataset were randomized to control for order biases in each of ten runs. As a result, these methods provided datasets that represent extreme levels of domain change. Using the above datasets, EBL's mean classification accuracies for each dataset were compared to the published static domain results of other machine learning systems. The results indicated that the EBL's system performance was not statistically different (p>0.30) from the other machine learning methods. These results indicate that the EBL system is able to adjust to an extreme level of domain change and yet produce satisfactory results. This finding supports the use of the EBL method in real-world environments that incur rapid changes to both variables and values.

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Books on the topic "Dynamic machine"

1

Dynamic dimensional designs. Chillicothe, IL: SJR Sew With Class, 1997.

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Hughes, Trudie. Dynamic duo. Elm Grove, WI (13330 Watertown Plank Rd., Elm Grove 53122): PW Publications, 1991.

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Sarma, Mulukutla S. Electric machines: Steady-state theory and dynamic performance. 2nd ed. Boston: PWS Publishing, 1996.

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Electric machines: Steady-state theory and dynamic performance. Dubuque, Iowa: W.C. Brown, 1985.

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Electric machines: Steady-state theory and dynamic performance. St. Paul: West Pub. Co., 1986.

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Electric machines: Steady-state theory and dynamic performance. 2nd ed. Minneapolis/St. Paul: West, 1994.

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Bennaceur, Amel, Reiner Hähnle, and Karl Meinke, eds. Machine Learning for Dynamic Software Analysis: Potentials and Limits. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96562-8.

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Schobeiri, Meinhard. Turbomachinery Flow Physics and Dynamic Performance. 2nd ed. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Schobeiri, Meinhard. Turbomachinery flow physics and dynamic performance. 2nd ed. New York: Springer, 2012.

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Bookman, Lawrence A. Trajectories through knowledge space: A dynamic framework for machine comprehension. Boston: Kluwer Academic Publishers, 1994.

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Book chapters on the topic "Dynamic machine"

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Shanechi, Maryam M. "Brain–Machine Interfaces." In Dynamic Neuroscience, 197–218. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71976-4_8.

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Webb, Geoffrey I., Johannes Fürnkranz, Johannes Fürnkranz, Johannes Fürnkranz, Geoffrey Hinton, Claude Sammut, Joerg Sander, et al. "Dynamic Programming." In Encyclopedia of Machine Learning, 298–308. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_237.

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Webb, Geoffrey I., Johannes Fürnkranz, Johannes Fürnkranz, Johannes Fürnkranz, Geoffrey Hinton, Claude Sammut, Joerg Sander, et al. "Dynamic Systems." In Encyclopedia of Machine Learning, 308. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_239.

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Jackson, David. "Building a Well-Oiled Machine." In Dynamic Organisations, 127–50. London: Palgrave Macmillan UK, 1997. http://dx.doi.org/10.1007/978-1-349-14169-2_6.

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Webb, Geoffrey I., Johannes Fürnkranz, Johannes Fürnkranz, Johannes Fürnkranz, Geoffrey Hinton, Claude Sammut, Joerg Sander, et al. "Dynamic Bayesian Network." In Encyclopedia of Machine Learning, 298. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_234.

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Webb, Geoffrey I., Johannes Fürnkranz, Johannes Fürnkranz, Johannes Fürnkranz, Geoffrey Hinton, Claude Sammut, Joerg Sander, et al. "Dynamic Decision Networks." In Encyclopedia of Machine Learning, 298. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_235.

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Webb, Geoffrey I., Johannes Fürnkranz, Johannes Fürnkranz, Johannes Fürnkranz, Geoffrey Hinton, Claude Sammut, Joerg Sander, et al. "Dynamic Memory Model." In Encyclopedia of Machine Learning, 298. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_236.

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Kakas, Antonis C., David Cohn, Sanjoy Dasgupta, Andrew G. Barto, Gail A. Carpenter, Stephen Grossberg, Geoffrey I. Webb, et al. "Approximate Dynamic Programming." In Encyclopedia of Machine Learning, 39. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_26.

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Webb, Geoffrey I., Eamonn Keogh, Risto Miikkulainen, Risto Miikkulainen, and Michele Sebag. "Neuro-Dynamic Programming." In Encyclopedia of Machine Learning, 716. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_588.

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Buhmann, M. D., Prem Melville, Vikas Sindhwani, Novi Quadrianto, Wray L. Buntine, Luís Torgo, Xinhua Zhang, et al. "Relational Dynamic Programming." In Encyclopedia of Machine Learning, 851. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_718.

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Conference papers on the topic "Dynamic machine"

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Sun, Yuming, and Ning Sun. "Dynamic compaction machine boom structure dynamics research." In 2015 3rd International Conference on Machinery, Materials and Information Technology Applications. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icmmita-15.2015.266.

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Gerrits, T., C. G. E. Wijnands, J. J. H. Paulides, and J. L. Duarte. "Dynamic Machine Operation Transitions." In 2013 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2013. http://dx.doi.org/10.1109/vppc.2013.6671678.

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Lin, Yingzi, and Hua Cai. "A General Framework for Control Systems Approach to Collaborative Human-Machine Systems." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2661.

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This paper presents a new work for the effective management of human-machine collaboration by applying a model-based control systems approach. One fundamental idea is that contemporary machines are assumed to be equipped with human assistance systems (HAS) with varying levels of intelligences. Thus, machines are collaboratively managed by both the human and HAS. This view goes beyond the full automation paradigm which is considered as a special case and is more general than the human-machine interaction paradigm. Another fundamental idea is to take a control systems view of collaborative human-machine systems, especially the so-called model-based control systems paradigm. The HAS technology is developed based on these two views. This paper in particular describes details of these two views along with a preliminary development of a HAS system for management of human cognitive engagement through regulating a multi-modal interface in a car-following case study. HAS revoked drivers’ cognition engagement for decision making first and retained the right of action interception as last. This approach demonstrated reduced driver intrusion while maintaining similar driving safety. In general, this approach minimized the deviation between the required human cognitive interference with the human state and the actual level of the interference based on the machine state.

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Raman, Srinivas, and Clarence W. de Silva. "Classifier Design for Sensor-Fault Tolerant Condition Monitoring in an Industrial Machine." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2667.

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This paper presents a comparative evaluation of two classification schemes that can be used to accurately diagnose the health of machines in the presence of sensor failure. In the developed approach, multiple sensors acquire vibration and sound signals from a machine and the signals are represented using the Wavelet Packet Transform (WPT). A “wrapper” feature selection procedure is used to reduce the size of the feature set without sacrificing the classification accuracy. The performance of a Radial Basis Function Network (RBFN) is compared with that of a Support Vector Machine (SVM) by simulating and monitoring machine and sensor faults in an industrial fish cutting machine. Initial results show an 85% reduction in feature set size for an RBFN and a 92.5% reduction in feature set size for a SVM.

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Torr, P. H. S., and A. Criminisi. "Dense Stereo Using Pivoted Dynamic." In British Machine Vision Conference 2002. British Machine Vision Association, 2002. http://dx.doi.org/10.5244/c.16.39.

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Ung, David, and Cristina Cifuentes. "Machine-adaptable dynamic binary translation." In the ACM SIGPLAN workshop. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/351397.351414.

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Le, Long Hoang, Carlos Eduardo Bezerra, and Fernando Pedone. "Dynamic Scalable State Machine Replication." In 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2016. http://dx.doi.org/10.1109/dsn.2016.11.

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Li, Wei, W. Ed Red, C. Greg Jensen, and Tyler Davis. "Dynamic Reconfigurable Machine Tool Controller." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61317.

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This paper presents a dynamic reconfigurable control strategy based on the Direct Machining And Control (DMAC) research at Brigham Young University. We propose a reconfigurable framework which will allow a DMAC compliant machine to be controlled by a variety of applications and control laws. This Reconfigurable Mechanism for Application Control (RMAC) paradigm uses a hierarchical architecture to configure a mechanism into a device driver for direct control by an application like CAD/CAM. The paradigm is one of a mechanism device driver assigned to each mechanism class or model, and uses only the master model to control the mechanism. The traditional M&G code language is no longer necessary since motion entities (NURBS, lines, arcs, etc) are passed directly to the mechanism. The design strategy of using dynamic-link libraries (DLL) to form a mechanism device driver permits a mechanism to assume different operating configurations, depending on the number of axes and machine resolution. For example, the machine can perform as a material removal machine in one instant, and then, by loading a new device driver, act as a Coordinate Measuring Machine (CMM). This strategy is possible because DMAC is a software and networked-based control architecture. Both the CAD/CAM planning software and the real-time control software reside on the same PC. The CAM process plan can thus directly control the machine without need for process plan decomposition into the forms supported by the native controller. The architectural framework is explained in detail and the methodology for control software reconfiguration into a device driver is presented. For demonstration purposes three device drivers will be implemented on one machine to demonstrate feasibility and usefulness.

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Nordgren, William B. "Time machine---the dynamic worksheet." In the 28th conference. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/256562.256756.

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Kral, Martin, and Radomir Gono. "Dynamic model of asynchronous machine." In 2017 18th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2017. http://dx.doi.org/10.1109/epe.2017.7967320.

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Reports on the topic "Dynamic machine"

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Briassoulis, Demetres, Stephen W. Maloney, and Steven C. Sweeney. Static and Dynamic Effects of the Pipe Insertion Machine Technique. Fort Belvoir, VA: Defense Technical Information Center, April 1989. http://dx.doi.org/10.21236/ada207745.

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Bennett, J. G., P. Goldman, D. C. Williams, and C. R. Farrar. A comparison of the dynamic stiffness of the Goldcrown GC-500 grinding machine for three slide designs. Office of Scientific and Technical Information (OSTI), January 1994. http://dx.doi.org/10.2172/10121869.

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Barros, Kipton Marcos. Advances in machine learned potentials for molecular dynamics simulation. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1477636.

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Goodwin, M. J., and M. P. Roach. Vibration Control in Rotating Machinery Using Variable Dynamic Stiffness Squeeze-Films. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada202902.

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Aboaba, A., Y. Martinez, S. Mohaghegh, M. Shahnam, C. Guenther, and Y. Liu. Smart Proxy Modeling Application of Artificial Intelligence & Machine Learning in Computational Fluid Dynamics. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1642460.

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Harris, R. N. User's guide for Sandia's DRAM (Dynamic Response of Articulated Machinery) user-written subroutines. Office of Scientific and Technical Information (OSTI), May 1989. http://dx.doi.org/10.2172/6045713.

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Roach M. J. /Goodwin, M. P. Vibration Control in Rotating Machinery Using Variable Dynamic Stiffness Squeeze-Films. Volume 1. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada174417.

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Goodwin, M. J., and M. P. Roach. Vibration Control in Rotating Machinery Using Variable Dynamic Stiffness Squeeze Films. Volume 2. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada174433.

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Wang, Zhehui (Jeph). Studying dynamo and MRI in dusty plasmas: through machine learning of long-range correlated dust transport [Slides]. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1787263.

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Ansari, A., S. Mohaghegh, M. Shahnam, J. F. Dietiker, and T. Li. Data Driven Smart Proxy for CFD Application of Big Data Analytics & Machine Learning in Computational Fluid Dynamics, Report Two: Model Building at the Cell Level. Office of Scientific and Technical Information (OSTI), April 2018. http://dx.doi.org/10.2172/1431303.

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