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Autore: |
Pascual Diego Galar
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Titolo: |
Artificial intelligence tools : decision support systems in condition monitoring and diagnosis / / Diego Galar Pascual
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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 ![]() |
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.: | 9910800185003321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |