Mechanical equipment is the heart of industry. For this reason, mechanical fault diagnosis has drawn considerable attention. In terms of the rich information hidden in fault vibration signals, the processing and analysis techniques of vibration signals have become a crucial research issue in the field of mechanical fault diagnosis. Based on the theory of sparse decomposition, Selesnick proposed...

Areas of Teaching Interest:  Analysis and Design of Control Systems  Discrete Time Control Systems  Intelligent Controls  Robust Nonlinear Controls Areas of Research Interest:  Robust and adaptive control of nonlinear systems  Homogeneous systems theory  Output feedback control  Observer design and fault detection  Intelligent control systems  Control of nonholonomic systems  Underac...

microgrid presents an efficient and novel solution for integrating many new energy generating resources with traditional distribution networks. having an appropriate protective scheme is a fundamental challenge in achieving microgrid plans. it is proven that traditional protective plans are not efficient for protecting microgrid, since the network is dynamic and the level of fault current chang...

The design procedure of a second-generation wavelet packet decomposition, based on an evolutionary approach, is introduced for industrial fault detection. The procedure has been validated by means of an experimental case study for an induction motor used as traction machine in an elevator system. Preliminary results on three mechanical faults related to ball-bearing show encouraging performance.

— This paper describes the ongoing research on Rough Sets based classifier applied to Induction Motors fault diagnosis through Motor Current Signature Analysis (MCSA). The results of mechanical failures detection and how a Rough Sets based classifier is used as a monitoring system using current signature analysis in predictive maintenance are described in this paper.

In this paper, a new fast and accurate method for fault detection, location, and classification on multi-terminal DC (MTDC) distribution networks connected to renewable energy and energy storages presented. MTDC networks develop due to some issues such as DC resources and loads expanding, and try to the power quality increasing. It is important to recognize the fault type and location in order ...