Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis

Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis
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
Release Finelybook 出版日期: 2015-04-22
pages 页数: (549 )

$195

Book Description to Finelybook sorting

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


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