Power Plant Surveillance and Diagnostics (eBook, PDF)

Applied Research with Artificial Intelligence
Redaktion: Ruan, Da; Fantoni, Paolo F.

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 386
• Erscheinungstermin: 12. Juni 2019
• Englisch
• ISBN-13: 9783662049457
• Artikelnr.: 62491882