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Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis.
・ISBN 978-1-4665-8405-1 hard GB£ 190.00
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| 著者・編者 | Galar Pascual, Diego, |
|---|---|
| 出版社 | (CRC Press Inc, US) |
| 出版年月 | 2015 |
| ページ数 | 549 pp. |
| 言語 | ENG |
| ニュース番号 | <A01-8038> |
解説
Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:
- Addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniques
- Considers the merits of each technique as well as the issues associated with real-life application
- Covers classification methods, from neural networks to Bayesian and support vector machines
- Proposes fuzzy logic to explain the uncertainties associated with diagnostic processes
- Provides data sets, sample signals, and MATLAB (R) code for algorithm testing
Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis delivers a thorough evaluation of the latest AI tools for CM, describing the most common fault diagnosis techniques used and the data acquired when these techniques are applied.