Characteristic Performance Analysis of Electrical Machine with Faults via Wavelet Transforms
Khaleel J. Hammadi1, Ahmed R. Ajel2, Salam Ibrahim Kadhim3
1Dr. Khaleel J. Hammadi, Electrical and Electronic Techniques Engineering, Middle Technical University, College of EEE Techniques, Baghdad – Iraq.
2Dr. Ahmed R. Ajel, Department of Information Technology, Institute of Technology, Middle Technical University, Baghdad – Iraq.
3Salam Ibrahim Kadhim, Electrical and Electronic Techniques Engineering, Middle Technical University, College of EEE Tecniques, Baghdad – Iraq.

Manuscript received on January 02, 2014. | Revised Manuscript received on January 04, 2014. | Manuscript published on January  05, 2014. | PP: 139-142 | Volume-4 Issue-6, January 2014. | Retrieval Number: F2495014615/2015©BEIESP
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Abstract: This paper presents a novel approach to electrical machine current signature analysis based on wavelet transform of the stator current by using labview programming. The novelty of the proposed method lies in the fact that by using WT method the inherent non stationary nature of stator current can be accurately considered. The key characteristics of the proposed method are its ability to provide feature representations of multiple frequency resolutions for faulty modes, ability to clearly differentiate between healthy and faulty conditions, and its applicability to non-stationary signals. Successful implementation of the system for rotor bar breakage is demonstrated here .The condition monitoring of the electrical machines can significantly reduce the costs of maintenance by allowing the early detection of faults, which could be expensive to repair. The applied method is the wavelet transform which utilizes the results of the stator current.
Keywords: Electrical machine, Mechanical fault, Wavelet transform, NI USB