Temporary short circuit detection in induction motor winding using combination of wavelet transform and neural network

Authors:
D. A. Asfani;A. K. Muhammad; Syafaruddin;M. H. Purnomo;T. Hiyama
Affiliations:
Department of Computer Science and Electrical Engineering, Kumamoto University, 2-39-1 Kurokami, Kumamoto 860-8555, Japan and Department of Electrical Engineering, Intitut Teknologi Sepuluh Nopemb ...;Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Johor, Malaysia;Department of Electrical Engineering of Universitas Hasanuddin, 90245 Tamalanrea-Makassar, Indonesia;Department of Electrical Engineering, Intitut Teknologi Sepuluh Nopember, 60111 Surabaya, Indonesia;Department of Computer Science and Electrical Engineering, Kumamoto University, 2-39-1 Kurokami, Kumamoto 860-8555, Japan
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

Monitoring system for induction motor is widely developed to detect the incipient fault. Such system is desirable to detect the fault at the running condition to avoid the motor stop running suddenly. In this paper, a new method for detection system is proposed that emphasizes the fault occurrences as temporary short circuit in induction motor winding. The investigation of fault detection is focused on the transient phenomena during starting and ending points of temporary short circuit. The proposed system utilizes the wavelet transform for processing the motor current signal. Energy level of high frequency signal from wavelet transform is used as the input variable of neural network which works as detection system. Three types of neural networks are developed and evaluated including feed forward neural network (FFNN), Elman neural network (ELMNN) and radial basis functions neural network (RBFNN). The results show that ELMNN is the most simply and accurate system that can recognize all of unseen data test. Laboratory based experimental setup is performed to provide real-time measurement data for this research.