Diego Galar Pascual

Artificial Intelligence Tools (eBook, ePUB)

Decision Support Systems in Condition Monitoring and DIagnosis

• Format: ePub

Produktbeschreibung

This book discusses white- and black-box approaches to fault diagnosis in condition monitoring, delivering a thorough evaluation of the latest artificial intelligence tools. It addresses nearest-neighbor-based, clustering-based, statistical, and information theory-based techniques, considering the merits of each technique as well as the issues associated with real-life application. It covers classification methods, from neural networks to Bayesian and support vector machines. It proposes fuzzy logic to explain the uncertainties associated with diagnostic processes. It also provides data sets, sample signals, and MATLAB code for algorithm testing.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 549
• Erscheinungstermin: 22. April 2015
• Englisch
• ISBN-13: 9781498760195
• Artikelnr.: 44754115

Autorenporträt

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 Lule¿niversity 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).

Inhaltsangabe

Massive Field Data Collection: Issues and Challenges. Condition Monitoring: Available Techniques. Challenges of Condition Monitoring Using AI Techniques. Input and Output Data. Two
Stage Response Surface Approaches to Modeling Drug Interaction. Nearest
Neighbor
Based Techniques. Clustering
Based Techniques. Statistical Techniques. Information Theory
Based Techniques. Uncertainty Management.