Description
Power Plant Surveillance and Diagnostics, Softcover reprint of hardcover 1st ed. 2002
Applied Research with Artificial Intelligence
Power Systems Series
Coordinators: Ruan Da, Fantoni Paolo F.
Language: EnglishSubjects for Power Plant Surveillance and Diagnostics:
Publication date: 12-2010
386 p. · 15.5x23.5 cm · Paperback
Publication date: 04-2002
386 p. · 15.5x23.5 cm · Hardback
Description
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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.
Edited book reporting recent results of 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 both provide efficient energy systems at lower costs