Power Plant Surveillance and Diagnostics: Applied Research with Artificial Intelligence / Edition 1

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Overview

Edited book reporting recent results in AI research in power plant surveillance and diagnostics. High quality and applicability of the contributions through a thorough peer-reviewing process. Condition Monitoring and Early Fault Detection provide for better efficiency of energy systems, at lower costs.

Inhalt

Featured Topics: Analysis of important issues relating to specification, development and use of systems for computer-assisted plant surveillance and diagnosis.- Empirical and analytical methods for on-line calibration monitoring and data reconciliation.- Noise analysis methods for early fault detection, condition monitoring, leak detection and loose part monitoring.- Predictive maintenance and condition monitoring techniques.- Empirical and analytical methods for fault detection and recognition.

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Product Details

  • ISBN-13: 9783540432470
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 6/10/2002
  • Series: Power Systems Series
  • Edition description: 2002
  • Edition number: 1
  • Pages: 386
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.88 (d)

Table of Contents

Featured Topics:
Analysis of important issues relating to specification, development and use of systems for computer-assisted plant surveillance and diagnosis.-
Empirical and analytical methods for on-line calibration monitoring and data reconciliation.-
Noise analysis methods for early fault detection, condition monitoring, leak detection and loose part monitoring.-
Predictive maintenance and condition monitoring techniques.- Empirical and analytical methods for fault detection and recognition.
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