Second-order transient-extracting transform

长期寻横/纵向项目合作。业务范围包括但不限于，数据分析、信号处理、时频分析、小波变换、故障诊断、机械结构优化，模态辨识，减振降噪，图像处理，语音识别，人工智能等。（无稳定的经费支持，原有的研究亦难以维系，不得不停下纵向研究，先拉拉赞助）邮箱：[e-mail]

In this paper, a high resolution time-frequency analysis method, termed as second-order transient-extracting transform (STET) is proposed in the analysis of highly non-stationary signals with strong impulse components for machine fault diagnosis. The limitation of two recently published post-processing techniques are discussed and highlighted based on a theoretical analysis of the first and the second-order frequency-varying models. A STET technique is then proposed to overcome this limitation. The discrete implementation of STET is also presented in the study and the performance of the technique is examined by a number of simulated numerical data and three sets of experimental data. The results confirm the effectiveness of the proposed technique in the analysis of noise contaminated signals as well as bearing defect signals acquired under varying speed condition.

This paper has been published on :

https://www.sciencedirect.com/science/article/abs/pii/S0888327020304556