On Friday, 5-06-2026, Dr. Jorge Bonet Jara delivered a research seminar in TUC entitled: “Speed estimation and signal acquisition with low noise levels for induction motor fault detection”.
Abstract: This seminar addresses the challenges of non-invasive diagnosis of induction motors through Motor Current Signature Analysis (MCSA). While multiple condition monitoring techniques exist — vibration analysis, thermography, partial discharge testing, and flux monitoring — MCSA remains the only viable option for motors that are physically inaccessible, such as deep-well submersible pumps supplying drinking water or machines operating in explosive atmospheres (ATEX). However, MCSA is not free of limitations: false positive and false negative indications, sensitivity to noise, and dependence on accurate speed knowledge pose significant reliability challenges. This seminar focuses on two of the most critical factors that determine the success of MCSA-based fault detection: signal acquisition with low noise levels and accurate sensorless speed estimation. On the acquisition side, practical strategies are presented to minimize the spectral noise floor, including the use of 24-bit data acquisition systems, input range optimization through amplification stages, anti-aliasing filtering, high sampling rates, and the exploitation of processing gain through long captures. The trade-off between noise floor and frequency resolution is also discussed. On the speed estimation side, the consequences of inaccurate estimates are illustrated and current sensorless methods are reviewed. Real measurement examples from industrial motors are provided throughout.
Biography
Dr. Jorge Bonet Jara received the degree of Bachelor in Industrial Engineering, Master in Industrial Engineering (specialization: Electrical Engineering), and PhD in Engineering and Industrial Production from the Universitat Politècnica de València in 2016, 2018, and 2023, respectively, also receiving the extraordinary doctoral thesis award. He is currently an Assistant Professor in the Department of Electrical Engineering at the Universitat Politècnica de València, with his main research area being the diagnosis and efficiency estimation of electric motors. He holds the accreditation for Tenured Lecturer and has over one hundred citations on Google Scholar. He is the author of 11 JCR articles in high-impact journals (IEEE Transactions on Industrial Electronics, IEEE Transactions on Energy Conversion, and IEEE Transactions on Industry Applications, etc.), as well as the author of 14 papers in international conferences (SDEMPED, ICEM, etc.). He has carried out national and international research stays with renowned professors in the field of diagnosis and efficiency estimation of electric motors such as Prof. Konstantinos Gyftakis, Prof. Daniel Moríñigo Sotelo and Prof. Lucia Frosini. He has also participated in 5 research projects, both regional and national, as well as industryfunded research projects, including two collaborative ones carried out with the water supply company FACSA. Finally, he holds 1 patent with national protection currently being extended to the USA and EU, in addition to a patent pending national protection.