Study on the Online Diagnosis System of Induction Motor with Broken Bar Fault Based on LabVIEW

Abstract:

This paper addressed a new approach of online diagnosis of induction motor with broken bar fault based on advanced digital filtering, ZOOM-FFT and acquiring slip by Rotor Slot Harmonics (RSH) techniques, the slip rate is accurately estimated from the precise measurements of the harmonic components of rotor and the power supply frequency, which enables us find the characteristic spectrum of a rotor with broken bar from the stator current spectrum. Thus, the motor broken bar fault can be detected by checking the existence of the characteristic spectrum. The proposed method overcomes the drawback of traditional current spectral analysis approaches. In particular, this paper addresses the problem that the side lobe spectral components are covered by the fundamental frequency and the noises. And the reliability of the fault detection method is improved. The experiment results have shown that the improved method is able to detect small broken rotor bar fault with good application value.

• Periodical: Applied Mechanics and Materials (Volumes 246-247)
• Pages: 765-771
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.246-247.765
• Online since: December 2012
• Authors: Xing Wen Tan
• Keywords: Digital Filtering, Induction Motor (IM), Rotor Defaults, Zoom-FFT

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