An adaptive envelope spectrum technique for bearing fault detection
An adaptive envelope spectrum technique for bearing fault detection
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DOI：
10.1088/0957-0233/25/9/095004
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发表时间：
2014-09-01
影响因子：
2.4
通讯作者：
Wang, Wilson
中科院分区：
文献类型：
--
作者：
Sui, Wentao;Osman, Shazali;Wang, Wilson
本文提出了一种用于轴承故障检测的自适应包络谱（AES）技术，特别是用于分析具有瞬态事件的信号。提出的AES技术首先利用经验模态分解对信号进行调制，得到具有代表性的本征模态函数（IMF），然后基于包络谱的相关分析，提出了一种新的本征模态重构方法。利用自适应滤波器对重构信号进行后处理，增强脉冲信号特征，并利用稀疏度分析技术优化滤波器长度。通过检测包络功率谱上的轴承特征频率信息来诊断轴承的健康状况。针对不同的轴承工况进行了一系列的试验，验证了所提故障检测技术的有效性。
In this work, an adaptive envelope spectrum (AES) technique is proposed for bearing fault detection, especially for analyzing signals with transient events. The proposed AES technique first modulates the signal using the empirical mode decomposition to formulate the representative intrinsic mode functions (IMF), and then a novel IMF reconstruction method is proposed based on a correlation analysis of the envelope spectra. The reconstructed signal is post-processed by using an adaptive filter to enhance impulsive signatures, where the filter length is optimized by the proposed sparsity analysis technique. Bearing health conditions are diagnosed by examining bearing characteristic frequency information on the envelope power spectrum. The effectiveness of the proposed fault detection technique is verified by a series of experimental tests corresponding to different bearing conditions.