Development of Fault Diagnosis Unit for Induction Motor using Digital Signal Processor and MEMS Accelerometer

V. Hegde, Maruthi G. S.
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Abstract

This work presents an attempt in developing a non-electrical contact and non-invasive type, portable fault diagnosis unit for Induction Motor (IM), using OMAP digital signal processor and Micro-Electro-Mechanical-Systems (MEMS) accelerometer. The novelty of the work lies in the fact that several electrical and mechanical faults can be successfully detected in order to deal with challenges in the continuous condition monitoring of incipient faults in IM. The methodology includes capturing of vibration signal by accelerometer, conversion of vibration signals to voltage signal and taking the FFT of the signal in digital signal processor to carry out the spectral analysis. The experimental results have been validated by comparing with the results of Tektronix FFT analyzer and simulation. Further the developed system was examined on IMs at Milk processing dairy industry and Ply wood manufacturing industry to validate the system performance.
基于数字信号处理器和MEMS加速度计的感应电机故障诊断单元的研制
本文提出了一种利用OMAP数字信号处理器和微机电系统(MEMS)加速度计开发异步电动机(IM)非电接触、非侵入式便携式故障诊断单元的尝试。该工作的新颖之处在于能够成功地检测出多种电气和机械故障,以应对IM中早期故障连续状态监测的挑战。该方法包括通过加速度计捕获振动信号,将振动信号转换为电压信号,并在数字信号处理器中对信号进行FFT进行频谱分析。通过与Tektronix FFT分析仪和仿真结果的比较,验证了实验结果。并在牛奶加工、乳制品行业和木材制造行业的IMs中对系统进行了测试,以验证系统的性能。
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