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LCD denoise and the vector mutual information method in the application of the gear fault diagnosis under different working conditions

机译:LCD Denoise和矢量互信息方法在不同工作条件下齿轮故障诊断的应用

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In this paper, the full vector LCD method is proposed to solve the misjudgment problem caused by the change of the working condition. First, the signal from different working condition is decomposed by LCD, to obtain the Intrinsic Scale Component (ISC)whose instantaneous frequency with physical significance. Then, calculate of the cross correlation coefficient between ISC and the original signal, signal denoising based on the principle of mutual information minimum. At last, calculate the sum of absolute Vector mutual information of the sample under different working condition and the denoised ISC as the characteristics to classify by use of Support vector machine (SVM) .The wind turbines vibration platform gear box experiment proves that this method can identify fault characteristics under different working conditions. The advantage of this method is that it reduce dependence of man's subjective experience, identify fault directly from the original data of vibration signal. It will has high engineering value.
机译:在本文中,提出了全矢量LCD方法来解决工作条件变化引起的误判问题。首先,来自不同工作条件的信号由LCD分解,以获得具有物理意义的瞬时频率的内在刻度分量(ISC)。然后,计算ISC和原始信号之间的互相关系数,基于相互信息的原理来计算的信号去噪。最后,根据不同的工作条件和去噪ISC计算样品的绝对矢量相互信息之和作为通过使用支持向量机(SVM)进行分类的特性。风力涡轮机振动平台齿轮箱实验证明了这种方法可以在不同的工作条件下识别故障特性。这种方法的优点在于它减少了人类主观经验的依赖,直接从振动信号的原始数据识别故障。它将具有高工程价值。

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