Artificial Intelligence Tools ─ Decision Support Systems in Condition Monitoring and Diagnosis

Artificial intelligence (AI) represents a programming approach and methodology that has evolved and is still evolving for effective maintenance management through its use in condition monitoring (CM). The most prevalent application of AI has been fault diagnosis and trouble shooting in maintenance of industrial machinery. AI tools are used in maintenance of all types of industrial machinery. Due to the success of AI in CM, this book compiles all AI tools used in CMg to structure them in a reference handbook.

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 Lulea 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).