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Books on the topic 'Machine control system'

Author: Grafiati

Published: 28 June 2021

Last updated: 13 February 2022

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1

Control of electric machine drive system. Hoboken, N.J: Wiley-IEEE, 2011.

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2

Sul, Seung-Ki. Control of electric machine drive system. [S.l.]: Wiley, 2011.

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3

Sutton, Robert. Modelling human operators in control system design. Edited by Towill Denis R. Taunton, Somerset, England: Research Studies Press, 1990.

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4

Hansen, John Paulin. Information nesting in configural interfaces for process control. Roskilde: RisøNational Laboratory, 1992.

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5

Cacciabue, Pietro C. Modelling and simulation of human behaviour in system control. Berlin: Springer, 1998.

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6

Cacciabue, Pietro Carlo. Modelling and Simulation of Human Behaviour in System Control. London: Springer London, 1998.

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7

Parts management models and applications: A supply chain system integration perspective. New York: Springer, 2005.

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8

service), SpringerLink (Online, ed. Machine Vision Handbook. London: Springer London, 2012.

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9

Ozkaya, Mustafa. A control system for a GTO voltage source inverter induction machine for railway traction. Birmingham: University of Birmingham, 1988.

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10

Fähnrich, K. P. Ein System zur wissensbasierten Diagnose an CNC-Werkzeugmaschinen durch den Maschinenbediener. Berlin: Springer-Verlag, 1990.

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11

Hinton, David A. A simulation evaluation of a pilot interface with an automatic terminal approach system. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.

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12

Sammarco, John J. Field evaluation of the modular azimuth and positioning system (MAPS) for a continuous mining machine. Washington, D.C: U.S. Dept. of the Interior, Bureau of Mines, 1993.

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13

Anderson, Donna L. Position and heading determination of a continuous mining machine using an angular position-sensing system. Washington, DC: Dept. of the Interior, 1989.

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14

Anderson, Donna L. Position and heading determination of a continuous mining machine using an angular position-sensing system. Pgh. [Pittsburgh], PA: U.S. Dept. of the Interior, Bureau of Mines, 1989.

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15

Leigh, J. R. Control Theory. 2nd ed. Stevenage: IET, 2004.

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16

Concurrent learning and information processing: A neuro-computing system that learns during monitoring, forecasting, and control. New York: Chapman & Hall, 1997.

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17

Gillan, James Alexander. The control of a Lummus Mackie Monofilament winding machine using the latest in process plc system technology. [S.l: The Author], 1993.

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18

DeMaio, Joe. Aided targeting system simulation evaluation. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1994.

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19

Acarnley, Paul. Stepping Motors: A guide to theory and practice. 4th ed. Stevenage: IET, 2002.

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20

Onken, Reiner. System-ergonomic design of cognitive automation: Dual-mode cognitive design of vehicle guidance and control work systems. Berlin: Springer, 2010.

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21

Finkenwirth, André. Ersatzteildisposition in der Automobilindustrie: Mit einem System-Dynamics-Lagerhaltungsmodell. Pfaffenweiler: Centaurus, 1993.

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22

Elia, Alberto. Human-machine interface design for process control safety profiles for real-time ethernet-based industrial automation networks. Research Triangle Park, NC: Instrumentation, Systems, and Automation Society, 2009.

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23

Wu, Yulin. Vibration of hydraulic machinery. Dordrecht: Springer, 2013.

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24

Wu, Yulin. Vibration of Hydraulic Machinery. Dordrecht: Springer Netherlands, 2013.

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25

Tzafestas, S. G. Human and nature minding automation: An overview of concepts, methods, tools and applications. Dordrecht: Springer, 2010.

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26

Precision machining technology. Clifton Park, NY: Delmar Cengage Learning, 2012.

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27

Jannarone, Robert J. Concurrent Learning and Information Processing: A Neuro-Computing System that Learns During Monitoring, Forecasting, and Control. Boston, MA: Springer US, 1996.

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28

Changlin, Gui, ed. An intelligent system for tribological design in engines. Amsterdam: Elsevier, 2004.

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29

Rosenbrock, H. H. Machines with a purpose. Oxford [England]: Oxford University Press, 1990.

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30

Park, Jinkyun. The Complexity of Proceduralized Tasks. London: Springer London, 2009.

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31

Carmona, Pedro Latorre. Mathematical Methodologies in Pattern Recognition and Machine Learning: Contributions from the International Conference on Pattern Recognition Applications and Methods, 2012. New York, NY: Springer New York, 2013.

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32

Tinga, T. Principles of Loads and Failure Mechanisms: Applications in Maintenance, Reliability and Design. London: Springer London, 2013.

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33

Sul, Seung-Ki. Control of Electric Machine Drive Systems. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470876541.

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34

Dataflow architecture for machine control. Taunton: Research Studies Press, 1989.

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35

Lent, Bogdan. Dataflow architecture for machine control. Taunton, Somerset, England: Research Studies Press, 1989.

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36

Ratmirov, V. A. FMS and control of machine tools. Moscow: Mir Publishers, 1990.

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37

Marwala, Tshilidzi. Condition Monitoring Using Computational Intelligence Methods: Applications in Mechanical and Electrical Systems. London: Springer London, 2012.

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38

Marwala, Tshilidzi. Condition Monitoring Using Computational Intelligence Methods: Applications in Mechanical and Electrical Systems. London: Springer London, 2012.

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39

Kaipio, Tero. Control of machine drives for varying inertia systems. Wolverhampton: University of Wolverhampton, 2000.

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40

Myeyeryakova, Vyera, and Viktor Starodubov. CNC Metal-cutting Machines. ru: INFRA-M Academic Publishing LLC., 2015. http://dx.doi.org/10.12737/5721.

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In the manual various ways of control of metal-cutting machines are considered, the principles of construction and possibility of systems of ChPU are given. Features of configurations and designs of machines with ChPU are presented, ways of expansion of their technological capabilities, increases of productivity, accuracy and reliability. The tasks solved during the training of managing directors of programs, feature of technological preparation, mathematical calculations and control unitary enterprise are considered. Programming bases for machines about ChPU, methods of adjusting are given, features of technological service and repair. It is intended for students of the higher educational institutions which are trained in the directions 151900 "Design-technology ensuring machine-building productions" (qualification — the bachelor) and 151000 "Technological machines and the equipment" (qualification — the bachelor) on a preparation profile "Metal-cutting machines and complexes", and also for preparation in lyceums, technical schools, on special courses of CNC operators, members of repair crews, technologists-programmers.

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41

Chikurov, Nikolay. Mathematical problems of coordinate measuring machines. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1163946.

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The monograph discusses solutions to mathematical problems related to the measurement of various machine-building parts on coordinate measuring machines (CMM). In addition, a number of mathematical problems that arise when measuring parts on the CMM are solved. The method of carrying out the corresponding measurements and mathematical calculations is given. It is intended for specialists who develop and maintain CMM control systems, for CMM operators, as well as for students of technical universities of relevant specialties.

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42

Human-machine interface design for process control. Research Triangle Park, NC: Instrumentation, Systems, and Automation Society, 2009.

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43

Elia, Alberto. Human-machine interface design for process control. Research Triangle Park, NC: Instrumentation, Systems, and Automation Society, 2009.

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44

Wong, C. F. Neural network control strategies for low-quality machine systems. Birmingham: University of Birmingham, 1997.

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45

(Editor), P. F. Elzer, R. H. Kluwe (Editor), and B. Boussoffara (Editor), eds. Human Error and System Design and Management (Lecture Notes in Control and Information Sciences). Springer, 2000.

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46

United States. National Aeronautics and Space Administration., ed. Learning fuzzy logic control system. [Washington, DC: National Aeronautics and Space Administration, 1994.

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47

Iaea. Safety Issues for Advanced Protection, Control & Human-Machine Interface System. International Atomic Energy Agency, 1998.

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48

Modelling and Simulation of Human Behaviour in System Control. Springer, 2011.

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49

Kumar, Sameer. Parts Management Models and Applications: A Supply Chain System Integration Perspective. Springer, 2014.

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50

Kumar, Sameer. Parts Management Models and Applications: A Supply Chain System Integration Perspective. Springer, 2004.

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