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Item Details
| Title:
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POWER PLANT SURVEILLANCE AND DIAGNOSTICS
APPLIED RESEARCH WITH ARTIFICIAL INTELLIGENCE |
| By: |
Da Ruan (Editor), Paolo F. Fantoni (Editor) |
| Format: |
Hardback |
| List price:
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£179.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3540432477 |
| ISBN 13: |
9783540432470 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
1 April, 2002 |
| Edition: |
2002 ed. |
| Series: |
Power Systems |
| Pages: |
386 |
| Description: |
Discussing developments and research related to all areas of plant surveillance and diagnosis, this text also identifies the successful applications of older methodological tools in the field. It highlights advantages of intelligent systems, AI techniques and integration of soft computing tools. |
| Synopsis: |
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. |
| Illustrations: |
30 Tables, black and white; XIII, 386 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |
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