Da (Hrsg.) Ruan
Power Plant Surveillance and Diagnostics
Applied Research with Artificial Intelligence
Ebook (PDF Format)
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 detectio…
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Beschreibung
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.
CHF 220.50
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Produktdetails
Weitere Autoren: Fantoni, Paolo F. (Hrsg.)
- ISBN: 978-3-662-04945-7
- EAN: 9783662049457
- Produktnummer: 37279301
- Verlag: Springer Berlin Heidelberg
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 386 S.
- Plattform: PDF
- Masse: 38'854 KB
- Auflage: 1st ed. 2002
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