中圖分類(lèi)號(hào)： TN91 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.201019 中文引用格式： 馮平興，張洪波. 基于JADE-EMD的滾動(dòng)軸承故障檢測(cè)[J].電子技術(shù)應(yīng)用，2021，47(6)：71-76. 英文引用格式： Feng Pingxing，Zhang Hongbo. Fault test of rolling bearing based on JADE-EMD[J]. Application of Electronic Technique，2021，47(6)：71-76.
Fault test of rolling bearing based on JADE-EMD
Feng Pingxing1，Zhang Hongbo2
1.School of Network and Communication Engineering，Chengdu Technological University，Chengdu 611731，China； 2.School of Communication and Information Engineering，Chengdu University of Information Technology，Chengdu 610225，China
Abstract： Bearing fault analysis has been a research focus in rolling transmission system. However, the traditional bearing fault diagnosis technology is usually based on strict constraints, such as the detection signal is a single fault signal component, the established hybrid system remains unchanged, and the model is established in noise free situation. Aiming at the limitation of this problem, combined with the independent component analysis(ICA) method, this study proposes a multi fault dynamic blind analysis method based on joint approximate diagonalization of eigenmatrix empirical mode decision(JADE-EMD). The basic idea of this method is based on the dynamic transmission system with multi input and multi output. Because of the blind identification characteristics for random noise with fourth-order statistics, the stationary random noise of rolling bearing in normal operation works as a kind of conventional signal input. Then, the mixed signals received by the sensor are decomposed into independent components by dynamic blind source separation technology. Finally, the separated fault signals are decomposed by EMD, and the distribution results of several basic mode component functions(IMF) are obtained. Simulation results show that the method can effectively diagnose the rolling bearing with faults. Especially in the multi bearing drive system, it can effectively avoid the mutual interference between various fault signals. Compared with the traditional single direct detection method, it can further improve the accuracy of fault bearing analysis.
Key words : JADE-EMD；dynamic blind analysis；rolling bearing；fault diagnosis
