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

Name: Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and DIagnosis
Brand: Taylor & Francis Inc
SKU: 9781466584051
Price: 174.59 EUR
Availability: InStock

★★★★★

English

By (author): Diego Galar Pascual

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.

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Product Details

Weight: 929g
Dimensions: 156 x 234mm
Publication Date: 22 Apr 2015
Publisher: Taylor & Francis Inc
Publication City/Country: United States
Language: English
ISBN13: 9781466584051

About Diego Galar Pascual

Diego Galar Pascual holds an M.Sc and Ph.D from Saragossa University Zaragoza Spain. He has been a professor at several universities including Saragossa University and the European University of Madrid Spain. At Saragossa University he also served as director of academic innovation director of international relations pro-vice-chancellor and senior researcher in the Aragon Institute of Engineering Research (i3A). In addition he has been the technological director and CBM manager of international firms such as Volvo Saab Boliden Scania Tetrapak Heinz and Atlas Copco. Currently he is the professor of condition monitoring in the Division of Operation and Maintenance of the Luleå University of Technology (LTU) Sweden where he also is involved with the LTU-SKF University Technology Center. Widely published Dr. Galar Pascual serves as a visiting professor at the University of Valencia (Spain) Polytechnic of Braganza (Portugal) Valley University (Mexico) Sunderland University (UK) University of Maryland (College Park USA) and Northern Illinois University (DeKalb USA).