Rotor System Fault Diagnosis Based on Bispectrum Entropy and Clustering Analysis

[1] pp. 3-6, (2014)

[2] WANG Z，, Et al., Fault feature extraction method of inter-shaft bearing based on feature fusion of EMD entropy［J］, Journal of Shenyang Aerospace University, 36, 4, pp. 16-21, (2017)

[3] SAIDI L, FNAIECH F., Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis［J］, ISA Transactions, 53, 5, pp. 1650-1660, (2014)

[4] YUAN Hongfang, MU Kun, MA Ruotong, Et al., Early fault diagnosis of rolling bearing based on MOMEDA and bispectrum analysis［J］, Measurement & Control Technology, 38, 8, pp. 61-64, (2019)

[5] ZHOU Yanbing, LIU Yibing, WANG Feng, Et al., Non Gaussian characteristic trend analysis of gear fault vibration signal［J］, Journal of Vibration and Shock, 33, 6, pp. 165-169, (2014)

[6] ZHENG Jinde, DAI Junxi, ZHU Xiaolong, Et al., Rolling bearing fault diagnosis method based on improved multi-scale fuzzy entropy［J］, Journal of Vibration，Measurement & Diagnosis, 38, 5, pp. 929-934, (2018)

[7] GOU Xiantai, LI Changxi, JIN Weidong, VMD multi-scale entropy for fault diagnosis of high-speed train lateral shock absorber［J］, Journal of Vibration，Measurement & Diagnosis, 39, 2, pp. 292-297, (2019)

[8] ZHANG Chen, ZHAO Rongzhen, DENG Linfeng, Rolling bearing fault diagnosis method based on EEMD singular value entropy［J］, Journal of Vibration ，Measurement & Diagnosis, 39, 2, pp. 353-358, (2019)

[9] SINHA J., Bispectrum for fault diagnosis in rotating machines ［C］∥The 17th International Congress On Sound & Vibration, (2010)

[10] JIANG Yonghua, LI Rongqiang, JIAO Weidong, Et al., Fault feature extraction method based on EMD and bispectrum analysis［J］, Journal of Vibration，Measurement & Diagnosis, 37, 2, pp. 338-342, (2017)

[1] pp. 3-6, (2014)

[2] WANG Z，, Et al., Fault feature extraction method of inter-shaft bearing based on feature fusion of EMD entropy［J］, Journal of Shenyang Aerospace University, 36, 4, pp. 16-21, (2017)

[3] SAIDI L, FNAIECH F., Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis［J］, ISA Transactions, 53, 5, pp. 1650-1660, (2014)

[4] YUAN Hongfang, MU Kun, MA Ruotong, Et al., Early fault diagnosis of rolling bearing based on MOMEDA and bispectrum analysis［J］, Measurement & Control Technology, 38, 8, pp. 61-64, (2019)

[5] ZHOU Yanbing, LIU Yibing, WANG Feng, Et al., Non Gaussian characteristic trend analysis of gear fault vibration signal［J］, Journal of Vibration and Shock, 33, 6, pp. 165-169, (2014)

[6] ZHENG Jinde, DAI Junxi, ZHU Xiaolong, Et al., Rolling bearing fault diagnosis method based on improved multi-scale fuzzy entropy［J］, Journal of Vibration，Measurement & Diagnosis, 38, 5, pp. 929-934, (2018)

[7] GOU Xiantai, LI Changxi, JIN Weidong, VMD multi-scale entropy for fault diagnosis of high-speed train lateral shock absorber［J］, Journal of Vibration，Measurement & Diagnosis, 39, 2, pp. 292-297, (2019)

[8] ZHANG Chen, ZHAO Rongzhen, DENG Linfeng, Rolling bearing fault diagnosis method based on EEMD singular value entropy［J］, Journal of Vibration ，Measurement & Diagnosis, 39, 2, pp. 353-358, (2019)

[9] SINHA J., Bispectrum for fault diagnosis in rotating machines ［C］∥The 17th International Congress On Sound & Vibration, (2010)

[10] JIANG Yonghua, LI Rongqiang, JIAO Weidong, Et al., Fault feature extraction method based on EMD and bispectrum analysis［J］, Journal of Vibration，Measurement & Diagnosis, 37, 2, pp. 338-342, (2017)