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

Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis Front Cover
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2015-04-22
549 pages

Book Description

Artificial Intelligence Tools: Decision Support 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 -based techniques
  • Considers the merits of each technique as well as the issues associated with real-life application
  • Covers classification methods, from neural to Bayesian and support vector machines
  • Proposes fuzzy to explain the uncertainties associated with diagnostic processes
  • Provides data sets, sample signals, and MATLABĀ® 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.

Book Details

  • Title: Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis
  • Author:
  • Length: 549 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2015-04-22
  • ISBN-10: 146658405X
  • ISBN-13: 9781466584051
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