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Early fault detection and diagnosis of high-performance electric motors has been an active area
of research for the past two decades. This work presents a practical session that facilitates instructing students
in this field. To meet this objective, fault diagnostic methods based on the Fourier transform and the wavelet
transform are successfully applied by means of processing and examining the frequency content of the stator
currents acquired from healthy and faulty permanent magnet synchronous machines (PMSMs). The goal of this
practical lab is to introduce Master’s degree students to the topic of fault detection by covering both stationary
and nonstationary operating conditions of the motor under study. The Technical University of Catalonia (UPC) has
successfully incorporated the learning methodology proposed in this paper in a practical session of an electronic
engineering course. The effectiveness of the proposed practical lab has been assessed using the results of a
satisfaction questionnaire answered by students involved in the course.
CitationRiba, J. [et al.]. An introduction to fault diagnosis of permanent magnet synchronous machines in master's degree courses. "Computer applications in engineering education", 16 Agost 2010, p. 1-11.
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