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Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis

Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis

Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring
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Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis Hardback - 2015

by Galar Pascual, Diego

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CRC Press, 2015-04-22. 1. hardcover. New. 5.00x1.00x8.00. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis
  • Author Galar Pascual, Diego
  • Binding Hardback
  • Edition 1
  • Condition New
  • Pages 549
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2015-04-22
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # DADAX146658405X
  • ISBN 9781466584051 / 146658405X
  • Weight 2.1 lbs (0.95 kg)
  • Dimensions 9.2 x 6.2 x 1.3 in (23.37 x 15.75 x 3.30 cm)
  • Size 5.00x1.00x8.00
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Computers - General Information
  • Library of Congress subjects Artificial intelligence, Decision support systems
  • Library of Congress Catalogue Number 2015460933
  • Dewey Decimal Code 629.89
  • Quantity available 6

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From the publisher

Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:

  • Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniques
  • Considers the merits of each technique as well as the issues associated with real-life application
  • Covers classification methods, from neural networks to Bayesian and support vector machines
  • Proposes fuzzy logic to explain the uncertainties associated with diagnostic processes
  • Provides data sets, sample signals, and MATLAB(R) code for algorithm testing

Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis delivers a thorough evaluation of the latest AI tools for CM, describing the most common fault diagnosis techniques used and the data acquired when these techniques are applied.

About the author

Diego Galar Pascual holds an M.Sc and Ph.D from Saragossa University, Zaragoza, Spain. He has been a professor at several universities, including Saragossa University and the European University of Madrid, Spain. At Saragossa University, he also served as director of academic innovation, director of international relations, pro-vice-chancellor, and senior researcher in the Aragon Institute of Engineering Research (i3A). In addition, he has been the technological director and CBM manager of international firms such as Volvo, Saab, Boliden, Scania, Tetrapak, Heinz, and Atlas Copco. Currently, he is the professor of condition monitoring in the Division of Operation and Maintenance of the Lule University of Technology (LTU), Sweden, where he also is involved with the LTU-SKF University Technology Center. Widely published, Dr. Galar Pascual serves as a visiting professor at the University of Valencia (Spain), Polytechnic of Braganza (Portugal), Valley University (Mexico), Sunderland University (UK), University of Maryland (College Park, USA), and Northern Illinois University (DeKalb, USA).

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