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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 310626, 10 pages
Research Article

A Diagnostic System for Speed-Varying Motor Rotary Faults

Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan

Received 26 February 2014; Accepted 18 April 2014; Published 19 May 2014

Academic Editor: Her-Terng Yau

Copyright © 2014 Chwan-Lu Tseng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study proposed an intelligent rotary fault diagnostic system for motors. A sensorless rotational speed detection method and an improved dynamic structural neural network are used. Moreover, to increase the convergence speed of training, a terminal attractor method and a hybrid discriminant analysis are also adopted. The proposed method can be employed to detect the rotary frequencies of motors with varying speeds and can enhance the discrimination of motor faults. To conduct the experiments, this study used wireless sensor nodes to transmit vibration data and employed MATLAB to write codes for functional modules, including the signal processing, sensorless rotational speed estimation, neural network, and stochastic process control chart. Additionally, Visual Basic software was used to create an integrated human-machine interface. The experimental results regarding the test of equipment faults indicated that the proposed novel diagnostic system can effectively estimate rotational speeds and provide superior ability of motor fault discrimination with fast training convergence.