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Artificial intelligence tools : decision support systems in condition monitoring and diagnosis /

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개인저자Pascual, Diego Galar, author.
서명/저자사항Artificial intelligence tools :decision support systems in condition monitoring and diagnosis /Diego Galar Pascual.
형태사항1 online resource : illustrations
소장본 주기eBooks on EBSCOhostAll EBSCO eBooks
ISBN9781466584068
1466584068


서지주기Includes bibliographical references and index.
내용주기1. 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.
요약Artificial 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.
일반주제명Maintenance -- 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
언어영어
기타형태 저록Print version:Pascual, Diego Galar.Artificial intelligence tools.Boca Raton, FL : CRC Press, 짤2015146658405X
대출바로가기http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=981290

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