Abstract：The vibration signals of rolling element bearings are random cyclostationary when they have faults. However, because the background noise is very heavy when the early fault occurs, it is difficult to disclose the latent periodic components successfully even using the second order cyclostationary analysis. To overcome this difficulty, the central frequency spectrum of the cyclic bispectrum (CBS), an alternative approach for defecting localized faults in the outer races of a rolling element bearing based on higher-order cyclic statistics analysis, is discussed in this paper. Simulation and experiment of the rolling element bearing fault diagnosis are performed, and the results indicate the feasibility and validity of the HSCBS analysis in rolling element bearing early fault diagnosis.
周宇; 陈进; 董广明; 肖文斌; 王志阳. 基于循环双谱的滚动轴承故障诊断[J]. , 2012, 31(9): 78-81.
Zhou Yu; Chen Jin; Dong Guang-ming; Xiao Wen-bin; Wang Zhi-yang. Fault Diagnosis of Rolling Element Bearing based on the Cyclic Bispectrum. , 2012, 31(9): 78-81.
2012, Vol. 31 
