Areas of interest:
Monitoring and analysis of industrial processes. Modelling and simulation of industrial components performance. Expert systems. Neural networks. Fuzzy logic. Genetic algorithms. Failure detection techniques. Reliability. Predictive maintenance. Image and voice processing.
Dr. Miguel A. Sanz-Bobi is working in IIT since 1985 and has been involved in more than twenty research projects for the industry, mainly for the electrical industryHis main research activities are related with applications to the reliability and maintainability field and the development of expert systems and use of artificial intelligence techniques for on-line diagnosis of incipient problems in large industrial processes such as power plants, machine tools, etc.He obtained the Degree of Doctor in 1992 from the Universidad Politécnica de Madrid, Madrid, Spain. His doctoral thesis described a methodology for predictive maintenance based on the health condition of equipments of complex industrial processes.