文献类型：期刊文献

英文题名：A New Instantaneous Wavelet Bicoherence for Local Fault Detection of Rotating Machinery

作者：Li, Yong[1];Zhou, Shaoping[1]

机构：[1]East China Univ Sci & Technol, Key Lab Pressure Syst & Safety, Minist Educ, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份：2020

卷号：69

期号：1

起止页码：135

外文期刊名：IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

收录：;EI(收录号：20195107884372);WOS:【SCI-EXPANDED(收录号:WOS:000502787500015)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 51505147, in part by the China Postdoctoral Science Foundation Project under Grant 2015M581545, and in part by the Fundamental Research Funds for the Central Universities under Grant 222201514315.

语种：英文

外文关键词：Continuous wavelet transforms; Vibrations; Wavelet analysis; Machinery; Couplings; Signal analysis; Continuous wavelet transform (CWT); health monitoring; instantaneous wavelet bicoherence (IWB); nonlinear and nonstationary; rotating machinery

摘要：Practical vibration signals resulting from fault-included rotating machinery are nonlinear and nonstationary in nature, which bring new challenges for the linear representations and the stationarity assumption methods. Wavelet bicoherence (WB) is considered an effective method for these nonlinear signals analysis. However, the current WB model ignores the phase information of the nonlinear signals and is often estimated by integrating over the finite-time interval. Thus, its direct application may cause spurious bicoherence peaks and the transient information loss of the nonstationary signals. To overcome these limitations, a new instantaneous WB model is established to extend the application of WB for nonstationary signal analysis. In this method, the instantaneous biphase information is used first for bispectrum calculation, and then, the algorithm based on ensemble average of instantaneous phase randomization is introduced to eliminate the spurious bicoherence. Finally, the bicoherence is estimated in the time-frequency domain. The effectiveness of the proposed method is validated by mathematical discussion, simulations, and experiments. Results illustrate that, compared with the commonly used method, the proposed method provides an alternative solution for local fault detection of rotating machinery.