News & Publications.

[1] Yongbo Li, Minqiang Xu*, Xihui Liang, Wenhu Huang. Application of bandwidth EMD and adaptive multi-scale morphology analysis for incipient fault diagnosis of rolling bearings. IEEE Transactions on Industrial Electronics, 64 (2017): 6506 - 6517. (SCI，IF=7.515, JCR 1)（ESI highly cited paper）.
[2] Yongbo Li, Yuantao Yang, Guoyan Li, Minqiang Xu*, Wenhu Huang. A fault diagnosis scheme for planetary gearboxes using modified multi-scale symbolic dynamic entropy and mRMR feature selection. Mechanical Systems and Signal Processing. 91 (2017): 295-312  (SCI，IF=6.471, JCR 1) （ESI highly cited paper）.
[3] Yongbo Li, Guoyan Li, Yuantao Yang, Xihui Liang, Minqiang Xu*. A fault diagnosis scheme for planetary gearboxes using adaptive multi-scale morphology filtering and hierarchical permutation entropy. Mechanical Systems and Signal Processing, 105 (2018): 319-337. (SCI，IF=6.471, JCR 1)（ESI highly cited paper）.
[4] Yongbo Li, Minqiang Xu*, Rixin Wang, Wenhu Huang. A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy. Journal of Sound and Vibration, 360 (2016): 277-299. (SCI，IF=3.429，JCR 1) （ESI highly cited paper）.
[5] Yongbo Li, Yuantao Yang, Xianzhi Wang, Binbin Liu, Xihui Liang*. Early fault diagnosis of rolling bearings based on hierarchical symbol dynamic entropy and binary tree support vector machine. Journal of Sound and Vibration, 2018, 428: 72-86. (SCI，IF=3.429，JCR 1) （ESI highly cited paper）.
[6] Yongbo Li, Ke Feng, Xihui Liang, Ming J. Zuo*, A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy. Journal of Sound and Vibration, 439 (2019): 271-286. (SCI，IF=3.429，JCR 1) （ESI highly cited paper）.
[7] Yongbo Li, Xianzhi Wang, Shubin Si*, Shiqian Huang. Entropy based fault classification using the Case Western Reserve University data: A benchmark study. IEEE Transactions on Reliability. 2019.1-14  (SCI，IF=3.117，JCR 1) （ESI highly cited paper）.
[8] Yongbo Li*, Fulong Liu, Shun Wang, Jiancheng Yin. Multi-scale Symbolic Lempel-Ziv: An Effective Feature Extraction Approach for Fault Diagnosis of Railway Vehicle Systems. IEEE Transactions on Industrial Informatics, 2020 (SCI，IF=9.112, JCR 1).
[9] Wang Xianzhi, Si Shubin, Yongbo Li*. Multiscale diversity entropy: a novel dynamical measure for fault diagnosis of rotating machinery. IEEE Transactions on Industrial Informatics, 2020 (SCI，IF=9.112, JCR 1). 
[10] Yongbo Li, Minqiang Xu*, Yu Wei, Wenhu Huang. An improvement EMD method based on the optimized rational Hermite interpolation approach and its application to gear fault diagnosis. Measurement, 63 (2015): 330-345. (SCI，IF=3.364，JCR 1) （ESI highly cited paper）.
[11] Yongbo Li, Minqiang Xu*, Yu Wei, Wenhu Huang. A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree. Measurement, 77 (2016): 80-94. (SCI，IF=3.364，JCR 1) （ESI highly cited paper）.
[12] Yongbo Li, Xianzhi Wang, Zhenbao. Liu, Xihui Liang, Shubin Si*，The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review. IEEE Access, 2018. (SCI，IF=3.745，JCR 1) （ESI highly cited paper）.
[13] Yongbo Li, Xihui Liang, Minqiang Xu*, Wenhu Huang. Early fault diagnosis of bearings based on ICD and tunable Q-factor wavelet transform. Mechanical Systems and Signal Processing. Mechanical Systems and Signal Processing. 86 (2017): 204-223. (SCI，IF=6.471, JCR 1).
[14] Yongbo Li, Minqiang Xu*, Yu Wei, Wenhu Huang. Health condition monitoring and early fault diagnosis of bearings using SDF and intrinsic characteristic-scale decomposition. IEEE Transactions on Instrumentation and Measurement. 99 (2016): 1-16. (SCI，IF=3.745，JCR 1).
[15] Yongbo Li, Xihui Liang, Minqiang Xu*, Wenhu Huang. Early fault diagnosis of rotating machinery by combining differential rational spline-based LMD and K-L divergence. IEEE Transactions on Instrumentation and Measurement. 66 (2017): 3077 - 3090 (SCI，IF=3.658，JCR 1)
[16] Yongbo Li, Minqiang Xu*, Haiyang Zhao, Wenhu Huang. Hierarchical fuzzy entropy and improved support vector machine based binary tree approach for rolling bearing fault diagnosis. Mechanism and Machine Theory. 98 (2016): 114-132. (SCI，IF=3.312，JCR 1)
[17] Yongbo Li, Minqiang Xu*, Yu Wei, Wenhu Huang. Rotating machine fault diagnosis based on intrinsic characteristic-scale decomposition. Mechanism and Machine Theory, 94 (2015): 9-27 (SCI，IF=3.312，JCR 1)
[18] Yongbo Li, Guoyan Li, Yu Wei, Binbin Liu, Xihui Liang*. Health condition identification of planetary gearboxes based on variational mode decomposition and generalized composite multi-scale symbolic dynamic entropy. ISA Transactions, 2018. (SCI，IF=4.305，JCR 1)
[19]  Yongbo Li*, Xihui Liang, Yu Wei, Xianzhi Wang. A method based on refined composite multi-scale symbolic dynamic entropy and ISVM-BT for rotating machinery fault diagnosis. Neurocomputing, 315 (2018): 246-260. (SCI，IF=4.438，JCR 1).
[20] Yongbo Li*, Shun Wang, Zichen Deng. Intelligent Fault Identification of Rotary Machinery using Refined Composite Multi-scale Lempel-Ziv Complexity, Journal of Manufacturing Systems，2020， (SCI，IF=5.105，JCR 1) .
[21] Yongbo Li*, Xiaoqiang Du, Fangyi Wan, Xianzhi Wang. Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging. Chinese Journal of Aeronautics, 2019 (SCI，IF=2.215，JCR 1).
[22] Yongbo Li, Minqiang Xu*, Yu Wei, Haiyang Zhao, Wenhu Huang. A new rotating machinery fault diagnosis method based on improved local mean decomposition. Digital Signal Processing. 46 (2015): 201-214. (SCI，IF=2.871，JCR 2)
[23] Yongbo Li, Xianzhi Wang, Shubin Si*. A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography. Complexity, 2019, 2019 (SCI，IF=2.462，JCR 1).
[24] Yongbo Li*, J. X. Gu, Dong Zhen, Ball Andrew. An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks. Sensors, 2019, 19(9): 2205. (SCI，IF=3.275，JCR 1).
[25] Yongbo Li, Yu Wei, Ke Feng, Xianzhi Wang, Zhenbao Liu*. Fault diagnosis of rolling bearing under speed fluctuation condition based on Vold-Kalman filter and RCMFE. IEEE access, 2018, 6: 37349-37360. (SCI，IF=3.745，JCR 1)
[26] Bin Han, Shun Wang, Qingqi Zhu, Yongbo Li*. Intelligent Fault Diagnosis of Rotating Machinery Using Hierarchical Lempel-Ziv Complexity. Applied Sciences, 2020, 10(12): 4221 (SCI，IF=2.474，JCR 2). 
[27] Xianzhi Wang, Shubin Si, Yongbo Li*, Xiaoqiang Du. An integrated method based on refined composite multivariate hierarchical permutation entropy and random forest and its application in rotating machinery. Journal of Vibration and Control, 2020, 26(3-4): 146-160, (SCI，IF=2.169，JCR 2).
[28] Yongbo Li, Shubin S, Zhiliang L, Xihui Liang*. Review of local mean decomposition and its application in fault diagnosis of rotating machinery. Journal of Systems Engineering and Electronics, 2019, 30(4): 799-814, (SCI，IF=2.169，JCR 4).
[29] Yongbo Li, Minqaing Xu*, Yu Wei, Wenhu Huang. Bearing fault diagnosis based on adaptive mutiscale fuzzy entropy and support vector machine. Journal of Vibroengineering, 2015, 17(3): 1188-1202, (SCI，IF=0.618，JCR 4).
[30] Yongbo Li, Minqiang Xu*, Yu Wei, Wenhu Huang. Application of CBSR and LMD in reciprocating compressor fault diagnosis. Journal of Vibroengineering, 2015, 17(1): 203-215, (SCI，IF=0.618，JCR 4).