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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 e
Artificial Intelligence in Process Fault Diagnosis
New Generation Artificial Intelligence-Driven Diagnosis and Maintenance Techniques
Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems
Intelligent and Safe Computer Systems in Control and Diagnostics
Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
Artificial Intelligence in Instrumentation, Control and Automation
Artificial Intelligence and Expert Systems for Engineers
Photovoltaic Systems
Artificial Intelligence in Production Engineering and Management
Artificial Intelligence and Machine Learning Algorithms for Engineering Applications
Decision Support Systems for Industrial and Scientific Applications
Predictive Maintenance in Dynamic Systems
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