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Yongbo Li 0001
Person information
- affiliation: Northwestern Polytechnical University, Xi'an, Shaanxi, China
Other persons with the same name
- Yongbo Li — disambiguation page
- Yongbo Li 0002
— Nanjing University of Science and Technology, Nanjing, China - Yongbo Li 0003
— George Washington University, WA, USA (and 1 more) - Yongbo Li 0004
— China University of Geosciences, Wuhan, China
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Journal Articles
- 2025
[j54]Rui Bai, Yongbo Li, Jiancheng Yin, Khandaker Noman:
Spatio-temporal graph convolutional network with domain generalization: A novel rotating machinery RUL prediction method in small samples. Adv. Eng. Informatics 67: 103522 (2025)
[j53]Jiancheng Yin
, Wentao Sui, Xuye Zhuang, Yunlong Sheng
, Yongbo Li
:
Two-Dimensional Image Lempel-Ziv Complexity Calculation Method and Its Application in Defect Detection. Entropy 27(10): 1014 (2025)
[j52]Gang Mao
, Hui Li, Longxian Xue, Yongbo Li, Zhiqiang Cai, Khandaker Noman:
FedPM-SGN: A federated graph network for aviation equipment fault diagnosis by multi-sensor fusion in decentralized and heterogeneous setting. Inf. Fusion 117: 102876 (2025)
[j51]Wanming Ying
, Lunyong Li, Yongbo Li, Teng Wang
, Jinde Zheng, Ke Feng:
Trustworthy multimodal feature-enhanced fusion network for non-contact rotating machinery fault diagnosis. Inf. Fusion 124: 103377 (2025)
[j50]Rui Bai, Yongbo Li, Jiancheng Yin
, Zehang Jiao, Khandaker Noman, Yuhang Wang:
Physics-driven Bayesian long short-term memory network for machinery remaining useful life prediction with uncertainty estimation. Reliab. Eng. Syst. Saf. 262: 111127 (2025)
[j49]Siyuan Gao
, Khandaker Noman
, Gang Mao
, Zichen Deng
, Yongbo Li
, Wenqing Ge
:
Multisource Heterogeneous Information Fusion Based on Graph Convolutional Network for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 74: 1-15 (2025)
[j48]Laixing Li
, Yongbo Li
, Tao Liu
, Khandaker Noman
, Huijun Shi
, Shuai Shi
:
Extended Sliding Time Synchronous Averaging for Enhancing Weak Fault Feature of Rolling Bearings. IEEE Trans. Instrum. Meas. 74: 1-13 (2025)
[j47]Tao Liu
, Shufeng Wang
, Xinsan Li
, Yongbo Li
, Khandaker Noman
:
Time-Frequency Mode Adaptive Decomposition Based on the Maximum Kurtosis for Extracting Fault Component of Bearings. IEEE Trans. Instrum. Meas. 74: 1-10 (2025)
[j46]Jiancheng Yin
, Wentao Sui
, Xuye Zhuang
, Yunlong Sheng
, Yongbo Li
:
An Improved Lempel-Ziv Complexity for Bearing Fault Diagnosis Based on the Time-Frequency Encoding Method. IEEE Trans. Instrum. Meas. 74: 1-12 (2025)
[j45]Jiancheng Yin
, Wentao Sui
, Xuye Zhuang
, Yunlong Sheng
, Jianjun Wang
, Rujun Song
, Yongbo Li
:
An Improved Lempel-Ziv Complexity Indicator Based on Multiscale Decomposition and Multiscale Encoding for Bearing Failure Severity Recognition. IEEE Trans. Instrum. Meas. 74: 1-13 (2025)
[j44]Chenyang Ma
, Ke Feng
, Xianzhi Wang
, Zhiqiang Cai
, Yongbo Li
:
Condition-Adaptive Permutation Entropy: A Novel Dynamic Complexity-Based Health Indicator for Bearing Health Monitoring. IEEE Trans. Reliab. 74(1): 2394-2407 (2025)- 2024
[j43]Jiancheng Yin
, Wentao Sui
, Xuye Zhuang
, Yunlong Sheng
, Yongbo Li
:
The Application of Lempel-Ziv Complexity in Medicine Science, Nature Science, Social Science, and Engineering: A Review and Prospect. IEEE Access 12: 179330-179352 (2024)
[j42]Tao Liu
, Laixing Li
, Khandaker Noman, Yongbo Li:
Local maximum instantaneous extraction transform based on extended autocorrelation function for bearing fault diagnosis. Adv. Eng. Informatics 61: 102487 (2024)
[j41]Tao Liu
, Laixing Li
, Yongbo Li, Khandaker Noman:
Sliding time-frequency synchronous average based on autocorrelation function for extracting fault feature of bearings. Adv. Eng. Informatics 62: 102876 (2024)
[j40]Yongchao Zhang
, Jinliang Ding, Yongbo Li, Zhaohui Ren, Ke Feng
:
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions. Eng. Appl. Artif. Intell. 133: 108236 (2024)
[j39]Shun Wang
, Yongbo Li, Khandaker Noman, Zhixiong Li, Ke Feng, Zheng Liu
, Zichen Deng:
Multivariate multiscale dispersion Lempel-Ziv complexity for fault diagnosis of machinery with multiple channels. Inf. Fusion 104: 102152 (2024)
[j38]Dingyi Sun, Yongbo Li, Zheng Liu, Sixiang Jia, Khandaker Noman:
Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis. Inf. Fusion 108: 102394 (2024)
[j37]Sheng Li
, Ke Feng
, Yadong Xu
, Yongbo Li, Qing Ni
, Ke Zhang, Yulin Wang, Weiping Ding
:
Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion. Inf. Fusion 110: 102453 (2024)
[j36]Chenyang Ma, Xianzhi Wang
, Yongbo Li, Zhiqiang Cai
:
Broad zero-shot diagnosis for rotating machinery with untrained compound faults. Reliab. Eng. Syst. Saf. 242: 109704 (2024)
[j35]Qiting Zhou, Longxian Xue, Jie He, Sixiang Jia
, Yongbo Li
:
A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising. Sensors 24(15): 4887 (2024)
[j34]Khandaker Noman
, Usman Ali
, Yongbo Li
, Shun Wang
, Anayet U. Patwari
, Anil Kumar
:
A Novel Nonlinear Dynamic Measure for Early Detection of Bearing Fault Using Weighted Squared Envelope-Based Symbolic Lempel-Ziv Complexity. IEEE Trans. Instrum. Meas. 73: 1-16 (2024)- 2023
[j33]Gang Mao, Yongbo Li, Zhiqiang Cai
, Bin Qiao, Sixiang Jia:
Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets. Eng. Appl. Artif. Intell. 125: 106670 (2023)
[j32]Dingyi Sun, Yongbo Li, Sixiang Jia, Ke Feng, Zheng Liu
:
Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data. Inf. Fusion 94: 112-125 (2023)
[j31]Chunyun Li
, Khandaker Noman, Zheng Liu
, Ke Feng, Yongbo Li:
Optimal symbolic entropy: An adaptive feature extraction algorithm for condition monitoring of bearings. Inf. Fusion 98: 101831 (2023)
[j30]Chenyang Ma, Yongbo Li, Xianzhi Wang
, Zhiqiang Cai
:
Early fault diagnosis of rotating machinery based on composite zoom permutation entropy. Reliab. Eng. Syst. Saf. 230: 108967 (2023)
[j29]Rui Bai, Khandaker Noman
, Ke Feng
, Zhike Peng, Yongbo Li:
A two-phase-based deep neural network for simultaneous health monitoring and prediction of rolling bearings. Reliab. Eng. Syst. Saf. 238: 109428 (2023)
[j28]Li Ding
, Jinchen Ji
, Yongbo Li
, Shun Wang
, Khandaker Noman
, Ke Feng
:
A Novel Weak Feature Extraction Method for Rotating Machinery: Link Dispersion Entropy. IEEE Trans. Instrum. Meas. 72: 1-12 (2023)
[j27]Khandaker Noman
, Yongbo Li
, Shubin Si
, Shun Wang
, Gang Mao:
Oscillatory Lempel-Ziv Complexity Calculation as a Nonlinear Measure for Continuous Monitoring of Bearing Health. IEEE Trans. Reliab. 72(1): 151-165 (2023)- 2022
[j26]Gang Mao, Zhongzheng Zhang, Bin Qiao, Yongbo Li
:
Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions. Entropy 24(1): 119 (2022)
[j25]Yongbo Li
, Fengshou Gu
, Xihui Liang
:
Information Theory and Its Application in Machine Condition Monitoring. Entropy 24(2): 206 (2022)
[j24]Gang Mao, Zhongzheng Zhang, Sixiang Jia
, Khandaker Noman, Yongbo Li
:
Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain. Sensors 22(7): 2579 (2022)
[j23]Jing Guo, Biao Ma, Tiangang Zou, Lin Gui, Yongbo Li
:
Composite Multiscale Transition Permutation Entropy-Based Fault Diagnosis of Bearings. Sensors 22(20): 7809 (2022)
[j22]Yongbo Li
, Bing Li
, Jinchen Ji, Hamed Kalhori
:
Advanced Sensing, Fault Diagnostics, and Structural Health Management. Sensors 22(23): 9087 (2022)
[j21]Yongbo Li
, Bing Li
, Jinchen Ji, Hamed Kalhori
:
Advanced Fault Diagnosis and Health Monitoring Techniques for Complex Engineering Systems. Sensors 22(24): 10002 (2022)
[j20]Xianzhi Wang
, Shubin Si
, Yongbo Li
:
Variational Embedding Multiscale Diversity Entropy for Fault Diagnosis of Large-Scale Machinery. IEEE Trans. Ind. Electron. 69(3): 3109-3119 (2022)
[j19]Yongbo Li
, Shun Wang
, Ni Li, Zichen Deng:
Multiscale Symbolic Diversity Entropy: A Novel Measurement Approach for Time-Series Analysis and Its Application in Fault Diagnosis of Planetary Gearboxes. IEEE Trans. Ind. Informatics 18(2): 1121-1131 (2022)
[j18]Khandaker Noman
, Yongbo Li
, Shun Wang
:
Continuous Health Monitoring of Rolling Element Bearing Based on Nonlinear Oscillatory Sample Entropy. IEEE Trans. Instrum. Meas. 71: 1-14 (2022)- 2021
[j17]Dangdang Zheng
, Bing Han
, Geng Liu, Yongbo Li
, Huangchao Yu
:
Cross-Domain Intelligent Fault Diagnosis Method of Rotating Machinery Using Multi-Scale Transfer Fuzzy Entropy. IEEE Access 9: 95481-95492 (2021)
[j16]Yongbo Li
, Fulong Liu, Shun Wang
, Jiancheng Yin
:
Multiscale Symbolic Lempel-Ziv: An Effective Feature Extraction Approach for Fault Diagnosis of Railway Vehicle Systems. IEEE Trans. Ind. Informatics 17(1): 199-208 (2021)
[j15]Xianzhi Wang
, Shubin Si
, Yongbo Li
:
Multiscale Diversity Entropy: A Novel Dynamical Measure for Fault Diagnosis of Rotating Machinery. IEEE Trans. Ind. Informatics 17(8): 5419-5429 (2021)
[j14]Yongbo Li
, Yu Ren
, Huailiang Zheng
, Zichen Deng
, Shun Wang
:
A Novel Cross-Domain Intelligent Fault Diagnosis Method Based on Entropy Features and Transfer Learning. IEEE Trans. Instrum. Meas. 70: 1-14 (2021)- 2020
[j13]Yongbo Li
, Xianzhi Wang
, Shubin Si
, Shiqian Huang
:
Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study. IEEE Trans. Reliab. 69(2): 754-767 (2020)- 2019
[j12]Yu Wei, Minqiang Xu
, Xianzhi Wang
, Wenhu Huang, Yongbo Li
:
A Hybrid Approach for Weak Fault Feature Extraction of Gearbox. IEEE Access 7: 16616-16625 (2019)
[j11]Huailiang Zheng
, Rixin Wang, Yuantao Yang
, Jiancheng Yin
, Yongbo Li
, Yuqing Li, Minqiang Xu:
Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review. IEEE Access 7: 129260-129290 (2019)
[j10]Yongbo Li
, Xianzhi Wang
, Shubin Si
, Xiaoqiang Du
:
A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography. Complex. 2019: 2619252:1-2619252:12 (2019)
[j9]Xianzhi Wang
, Shubin Si
, Yu Wei, Yongbo Li
:
The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery. Entropy 21(2): 170 (2019)
[j8]Yongbo Li
, James Xi Gu
, Dong Zhen
, Minqiang Xu, Andrew D. Ball:
An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks. Sensors 19(9): 2205 (2019)- 2018
[j7]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 6: 37349-37360 (2018)
[j6]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 6: 66723-66741 (2018)
[j5]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: 246-260 (2018)- 2017
[j4]Yongbo Li
, Minqiang Xu, Xihui Liang
, Wenhu Huang:
Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings. IEEE Trans. Ind. Electron. 64(8): 6506-6517 (2017)
[j3]Yongbo Li
, Xihui Liang
, Yuantao Yang
, Minqiang Xu
, Wenhu Huang:
Early Fault Diagnosis of Rotating Machinery by Combining Differential Rational Spline-Based LMD and K-L Divergence. IEEE Trans. Instrum. Meas. 66(11): 3077-3090 (2017)- 2016
[j2]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 Trans. Instrum. Meas. 65(9): 2174-2189 (2016)- 2015
[j1]Yongbo Li
, Minqiang Xu, Haiyang Zhao, Yu Wei, Wenhu Huang:
A new rotating machinery fault diagnosis method based on improved local mean decomposition. Digit. Signal Process. 46: 201-214 (2015)
Conference and Workshop Papers
- 2018
[c3]Yongbo Li
, Xianzhi Wang
, Zhiliang Liu, Shubin Si
:
A fault diagnosis method of planetary gearbox under variable speed condition using Vold-Kalman filter and Laplacian score. ICPHM 2018: 1-5
[c2]Dandan Peng
, Zhiliang Liu, Ronghui Li, Yongbo Li
:
Improved Empirical AM and FM Demodulation for Mono-component Signals. ICPHM 2018: 1-6
[c1]Zhuo Zhang, Huiping Li, Yongbo Li
:
L2-L∞ output-feedback distributed control for multi-vehicle networks. ICPS 2018: 129-134
Coauthor Index

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last updated on 2025-11-09 23:13 CET by the dblp team
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