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Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis
by 作者: Diego Galar Pascual
ISBN-10 书号: 146658405X
ISBN-13 书号: 9781466584051
Edition 版本: 1
Publication Date 出版日期: 2015-04-22
Pages 页数: 549 pages
Book Description
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® 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.
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 Al
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
