Application of sparse signal decomposition using dual-BP in gear-box weak fault diagnosis

被引：0

作者：

Cui, Lingli ^{[1
]}

Mo, Daiyi ^{[1
]}

Wu, Na ^{[1
]}

机构：

[1] College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing,100124, China

来源：

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2014年 / 35卷 / 11期

关键词：

Decomposition coefficient - Dual-BP - Gearbox vibration signal - Short time Fourier transforms - Sparse decomposition - STFT - Sustained oscillations - Weak faults;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In order to extract the early weak impact fault information in gearbox vibration signal submerged in strong background noise, a new sparse signal decomposition method using dual-BP is proposed. Firstly, the short-time Fourier transform using the window functions with different lengths is adopted to perform the signal sparse decomposition, and the initial decomposition coefficients are obtained; secondly, the dual-BP is used to optimize the obtained decomposition coefficients; lastly, the obtained coefficients are reconstructed, and the sustained oscillation component and the failure impact component of the signal are obtained; further, the failure impact component is analyzed and the diagnose result is obtained. The analysis results of simulation signal and application examples confirm the feasibility and validity of this method, which provides a new idea for the mechanical fault signal extraction in strong noise environment. ©, 2014, Science Press. All right reserved.

引用

页码：2633 / 2640