Editors:
- 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
Part of the book series: Power Systems (POWSYS)
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Table of contents (23 chapters)
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Front Matter
About this book
Editors and Affiliations
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Belgian Nuclear Research Centre (SCK·CEN), Mol, Belgium
Da Ruan
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Institute for Energy (IFE), Halden, Norway
Paolo F. Fantoni
Bibliographic Information
Book Title: Power Plant Surveillance and Diagnostics
Book Subtitle: Applied Research with Artificial Intelligence
Editors: Da Ruan, Paolo F. Fantoni
Series Title: Power Systems
DOI: https://doi.org/10.1007/978-3-662-04945-7
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
Hardcover ISBN: 978-3-540-43247-0Published: 01 April 2002
Softcover ISBN: 978-3-642-07754-8Published: 06 December 2010
eBook ISBN: 978-3-662-04945-7Published: 12 June 2019
Series ISSN: 1612-1287
Series E-ISSN: 1860-4676
Edition Number: 1
Number of Pages: XIII, 386
Topics: Energy Systems, Renewable and Green Energy, Power Electronics, Electrical Machines and Networks, Artificial Intelligence, Computer-Aided Engineering (CAD, CAE) and Design, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Industry Sectors: Aerospace, Automotive, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Materials & Steel, Oil, Gas & Geosciences, Telecommunications