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



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Autore: Pascual Diego Galar Visualizza persona
Titolo: Artificial intelligence tools : decision support systems in condition monitoring and diagnosis / / Diego Galar Pascual Visualizza cluster
Pubblicazione: Boca Raton, Florida : , : CRC Press, , [2015]
©2015
Descrizione fisica: 1 online resource (528 p.)
Disciplina: 658.2020285
Soggetto topico: Industrial equipment - Maintenance and repair - Data processing
Machinery - Monitoring
Artificial intelligence - Industrial applications
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: Front Cover; Contents; Preface; Acknowledgments; Author; Chapter 1: Massive Field Data Collection: Issues and Challenges; Chapter 2: Condition Monitoring: Available Techniques; Chapter 3: Challenges of Condition Monitoring Using AI Techniques; Chapter 4: Input and Output Data; Chapter 5: Two-Stage Response Surface Approaches to Modeling Drug Interaction; Chapter 6: Nearest Neighbor-Based Techniques; Chapter 7: Cluster-Based Techniques; Chapter 8: Statistical Techniques; Chapter 9: Information Theory-Based Techniques; Chapter 10: Uncertainty Management; Back Cover
Sommario/riassunto: 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
Titolo autorizzato: Artificial intelligence tools  Visualizza cluster
ISBN: 1-4987-6019-8
0-429-10232-1
1-4665-8406-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910787963003321
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