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Springer Modelling, Monitoring and Diagnostic Techniques for Fluid Power Systems

Name: Modelling, Monitoring and Diagnostic Techniques for Fluid Power Systems
Brand: Springer
Price: 52.13 GBP
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7006224

AI & Machine Learning

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Modelling, Monitoring and Diagnostic Techniques for Fluid Power Systems covers the background theory of fluid power and indicates the range of concepts needed for a modern approach to condition monitoring and fault diagnosis. The theory is leavened by 15-years-worth of practical measurements by the author, working with major fluid power companies, and real industrial case studies. This comprehensive reference gives the first integrated exposition of the fluid power applications of many of the techniques it describes: time-encoded signal processing; artificial neural networks and expert systems among others. Advantages and limitations of the paths are presented reminding the reader to consider the gamut of methods leading to positive decision-making regarding fault diagnosis. Four parts combine to produce an all-embracing whole: • an introduction to component behaviour; • a guide to the modelling methods employed for circuit analysis; • methods of condition monitoring; • common faults and breakdowns.

Product Specifications

Brand: Springer
Model: 7006224
Format: hardcover
ASIN: 1846283736
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 15 February 2007
Listed Since: 23 January 2007

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Springer Modelling, Monitoring and Diagnostic Techniques for Fluid Power Systems

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