Abstract:Due to random slip of rolling elements and the cage, bearing fault signals are mostly pseudo-cyclostationary.A wheelset bearing fault diagnosis method based on energy difference singular value ratio spectrum was proposed to deal with this specific kind of signal.The singular values distribution of the bearing fault pseudo-cyclostationary signal was studied in this article; then an energy difference singular value ratio spectrum, an embedding dimension calculation method for periodic segment matrix, was proposed by combining the concepts of singular value energy difference and singular value ratio.The embedding dimension was determined by energy difference singular value ratio spectrum and the wheelset bearing vibration signal was reconstructed to a periodic segment matrix.The singular value decomposition was then performed on the matrix and the energy difference spectrum was applied to determine the effective rank order of singular value.The final stage of fault diagnosis for wheelset bearings was conducted by recovering the periodic signal and employing corresponding envelope analysis.The proposed method was verified by the vibration data of a compound-fault bearing collected from a wheelset test rig.The results show that the proposed method can effectively extract the characteristic frequencies and their harmonics of the bearing outer race, the rolling element and the cage.Comparing with the traditional Hankel-based SVD method, the proposed method has better interference robustness and performance in multi-fault signal, reveals clearer and more frequencies and corresponding harmonics in envelope analysis, which demonstrates that the reliability of fault diagnosis has been significantly improved.
黄晨光,林建辉,丁建明,刘泽潮. 一种新的差分奇异值比谱及其在轮对轴承故障诊断中的应用[J]. 振动与冲击, 2020, 39(4): 17-26.
HUANG Chenguang,LIN Jianhui,DING Jianming,LIU Zechao. A novel energy difference singular value ratio spectrum and its application to wheelset bearing fault diagnosis. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(4): 17-26.
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