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Artificial intelligence tools : decision support systems in condition monitoring and diagnosis
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Artificial intelligence tools : decision support systems in condition monitoring and diagnosis/ Diego Galar Pascual. |
| 개인저자 | Pascual, Diego Galar,author. |
| 형태사항 | 1 online resource: illustrations. |
| 기타형태 저록 | Print version: Pascual, Diego Galar. Artificial intelligence tools. Boca Raton, FL : CRC Press, ?015 146658405X |
| ISBN | 9781466584068 1466584068 |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | 1. Massive field data collection : issues and challenges -- 2. Condition monitoring : available techniques -- 3. Challenges of condition monitoring using AI techniques -- 4. Input and output data -- 5. Two-stage response surface approaches to modeling drug interaction -- 6. Nearest neighbor-based techniques -- 7. Cluster-based techniques -- 8. Statistical techniques -- 9. Information theory-based techniques -- 10. Uncertainty management. |
| 요약 | 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 techniquesConsiders the merits of each technique as well as the issues associated with real-life applicationCovers classification methods, from neural networks to Bayesian and support vector machinesProposes fuzzy logic to explain the uncertainties associated with diagnostic processes. |
| 일반주제명 | Maintenance --Management --Data processing. Service life (Engineering) Industrial equipment --Maintenance and repair --Data processing. Machinery --Monitoring. Artificial intelligence --Industrial applications. BUSINESS & ECONOMICS / Facility Management BUSINESS & ECONOMICS / Management Science BUSINESS & ECONOMICS / Organizational Behavior |
| 언어 | 영어 |
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