By Diego Galar Pascual
Artificial Intelligence instruments: choice help platforms in tracking and Diagnosis discusses a number of white- and black-box methods to fault analysis in tracking (CM). This essential resource:
- Addresses nearest-neighbor-based, clustering-based, statistical, and knowledge theory-based techniques
- Considers the benefits of every procedure in addition to the problems linked to real-life application
- Covers type equipment, from neural networks to Bayesian and aid vector machines
- Proposes fuzzy good judgment to give an explanation for the uncertainties linked to diagnostic methods
- Provides information units, pattern signs, and MATLAB® code for set of rules testing
Artificial Intelligence instruments: determination aid structures in tracking and analysis delivers a radical review of the most recent AI instruments for CM, describing the commonest fault analysis ideas used and the knowledge bought whilst those ideas are applied.
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Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis by Diego Galar Pascual