Biography:
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.
Areas of interest:
Life condition monitoring and analysis of industrial processes. Modeling and simulation of the expected behavior of industrial components. Artificial Intelligence: knowledge-based systems, fuzzy logic, machine learning algorithms, reinforcement learning. Techniques for incipient detection of failure modes and risk assessment. Reliability. Predictive Maintenance. Asset Management. Image and voice treatment.
Skills:
Symbolic AI: Expert systems Decision trees Case-based reasoning Fuzzy logic Machine learning: Unsupervised machine learning: Clustering Supervised machine learning: neural networks, random forests, gradient booster… Reinforcement learning Generative AI: Generative Adversarial Networks Image, video, audio processing Evaluation of the condition of industrial processes. Predictive maintenance models. Methods characterizing the normal behavior expected in industrial systems and asset management