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首页> 外文期刊>American journal of applied sciences >Multiresolution Analysis Based Effective Diagnosis of Induction Motors
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Multiresolution Analysis Based Effective Diagnosis of Induction Motors

机译：基于多分辨率分析的感应电动机有效诊断

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摘要

Problem statement: Effective detection and localization ot unbalance voltage supply affecting an induction motor may be compromised in presence of additionnal noise. Approach: In order to overcome the non possibility of the default detection and localization in presence of noise, the use of the discrete wavelet transform and especially the MultiResolution Analysis algorithm, to remove efficiently the noise associated to the stator currents is proposed. Results: Simulation results show that the de-noised stator current is a good estimation of the non disturbed one. They show also that the default occurrence instant can be well detected starting from high frequency detail signal. Furthermore, the signal details which characterize the default are not smoothed and still characterize the default occurrence. Experimental results validate the de-noising approach efficiency and the effective unbalance detection considering the MRA technique. Conclusion: In this study, current signal denoising problem is studied in order to perform an effective detection of an unbalance voltage supply induction machine default. It can be deduced that the wavelet transform and particularly the MRA technique is a good and powerful solution for both non linear noise filtering and transient default detection. Both simulation and experimental results show clearly that the stator currents MRA allows not only to detect when the default appears but also helps to separate the useful signal from noise without affecting or suppressing the default transient information.
机译：问题陈述：在存在附加噪声的情况下，影响感应电动机的有效检测和不平衡电压供应的定位可能会受到影响。方法：为了克服在存在噪声的情况下进行默认检测和定位的可能性，提出了使用离散小波变换（尤其是MultiResolution Analysis算法）来有效消除与定子电流相关的噪声的方法。结果：仿真结果表明，降噪后的定子电流是对无干扰电流的良好估计。他们还表明，从高频细节信号开始，可以很好地检测到默认发生时刻。此外，表征默认信号的信号细节没有被平滑，仍然表征了默认信号的出现。实验结果验证了考虑MRA技术的降噪方法效率和有效的不平衡检测。结论：在本研究中，研究了电流信号去噪问题，以便对不平衡电压源感应电机的默认值进行有效检测。可以推断出，小波变换，尤其是MRA技术，对于非线性噪声滤波和瞬态默认检测都是很好的解决方案。仿真和实验结果均清楚地表明，定子电流MRA不仅可以检测何时出现默认值，而且还有助于将有用信号与噪声分离，而不会影响或抑制默认瞬态信息。

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