Artificial Intelligence Tools

Artificial Intelligence Tools

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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 MATLABAr 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.2.1 Role of Condition Monitoring in Condition-Based Maintenance and Predictive Maintenance Currently, to know when a maintenance action is needed, it is necessary to monitor (follow) the health status of the machine (its condition) byanbsp;...


Title:Artificial Intelligence Tools
Author: Diego Galar Pascual
Publisher:CRC Press - 2015-04-22
ISBN-13:

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