Yongbo Li - RankMe

70 papers Journal 67Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Employing natural language processing to build a knowledge graph in the realm of additive manufacturing. J. Intell. Manuf. Auwal Haruna, Khandaker Noman, Yongbo Li, Lunyong Li, Xin Wang, Khandaker Ashfak, Ahmad Bala Alhassan
2026	J	`jnl`	Facilitating heuristic reasoning by utilizing knowledge graph and natural language processing. Knowl. Based Syst. Auwal Haruna, Khandaker Noman, Yongbo Li, Inno Lorren Désir Makanda, Ahmed Zubair, Md Junayed Hasan, Ahmad Bala Alhassan
2026	J	`jnl`	Federated Physics-Informed Graph Framework Guided by Multianchors for Heterogeneous Wheeled Robots Collaborative Fault Diagnosis. IEEE Trans. Ind. Informatics Gang Mao, Yongbo Li, Yulong Zhang, Teng Wang, Khandaker Noman, Zhiqiang Cai
2026	J	`jnl`	Knowledge graph-driven fault diagnosis for aviation equipment: Integrating improved joint extraction with large language model. J. Ind. Inf. Integr. Lunyong Li, Auwal Haruna, Wanming Ying, Khandaker Noman, Yongbo Li
2026	J	`jnl`	PD-FedOS: Prototype-driven federated open-set learning framework for collaborative intelligent fault diagnosis of aero-engine rotor systems. Expert Syst. Appl. Gang Mao, Yongbo Li, Zhiqiang Cai, Teng Wang, Khandaker Noman, Ran Zhang
2026	J	`jnl`	Scale-Compensation Community Distance Entropy: A Novel Feature Extraction Tool for Fault Identification of Rotating Machinery. IEEE Trans. Ind. Informatics Chenyang Ma, Zhiqiang Cai, Ke Feng, Yimeng Wang, Yongbo Li
2026	J	`jnl`	Uncertainty aware federated averaging approach for privacy secured collaborative remaining useful life prediction of rolling element bearing. Reliab. Eng. Syst. Saf. Wasib Ul Navid, Khandaker Noman, Khandaker Ashfak, Yongbo Li, Zhe Su, Anayet U. Patwari
2025	J	`jnl`	AddManBERT: A combinatorial triples extraction and classification task for establishing a knowledge graph to facilitate design for additive manufacturing. Adv. Eng. Informatics Auwal Haruna, Khandaker Noman, Yongbo Li, Xin Wang, Md Junayed Hasan, Ahmad Bala Alhassan
2025	J	`jnl`	An Improved Lempel-Ziv Complexity Indicator Based on Multiscale Decomposition and Multiscale Encoding for Bearing Failure Severity Recognition. IEEE Trans. Instrum. Meas. Jiancheng Yin, Wentao Sui, Xuye Zhuang, Yunlong Sheng, Jianjun Wang, Rujun Song, Yongbo Li
2025	J	`jnl`	An Improved Lempel-Ziv Complexity for Bearing Fault Diagnosis Based on the Time-Frequency Encoding Method. IEEE Trans. Instrum. Meas. Jiancheng Yin, Wentao Sui, Xuye Zhuang, Yunlong Sheng, Yongbo Li
2025	J	`jnl`	Comprehensive Dynamic Prognosis of Rolling Element Bearing Health Through Adaptively Demodulated Nonlinear Dispersive Spectral Entropy. IEEE Trans Autom. Sci. Eng. Khandaker Noman, Khandaker Ashfak, Wasib Ul Navid, Yongbo Li, Auwal Haruna, Tao Liu
2025	J	`jnl`	Condition-Adaptive Permutation Entropy: A Novel Dynamic Complexity-Based Health Indicator for Bearing Health Monitoring. IEEE Trans. Reliab. Chenyang Ma, Ke Feng, Xianzhi Wang, Zhiqiang Cai, Yongbo Li
2025	J	`jnl`	Extended Sliding Time Synchronous Averaging for Enhancing Weak Fault Feature of Rolling Bearings. IEEE Trans. Instrum. Meas. Laixing Li, Yongbo Li, Tao Liu, Khandaker Noman, Huijun Shi, Shuai Shi
2025	J	`jnl`	FedPM-SGN: A federated graph network for aviation equipment fault diagnosis by multi-sensor fusion in decentralized and heterogeneous setting. Inf. Fusion Gang Mao, Hui Li, Longxian Xue, Yongbo Li, Zhiqiang Cai, Khandaker Noman
2025	J	`jnl`	Fuzzy diversity entropy as a nonlinear measure for the intelligent fault diagnosis of rotating machinery. Adv. Eng. Informatics Zehang Jiao, Khandaker Noman, Qingbo He, Zichen Deng, Yongbo Li, K. Eliker
2025	J	`jnl`	Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method. Reliab. Eng. Syst. Saf. Sixiang Jia, Dingyi Sun, Khandaker Noman, Xin Wang, Yongbo Li
2025	J	`jnl`	Multisource Heterogeneous Information Fusion Based on Graph Convolutional Network for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. Siyuan Gao, Khandaker Noman, Gang Mao, Zichen Deng, Yongbo Li, Wenqing Ge
2025	J	`jnl`	Physics-driven Bayesian long short-term memory network for machinery remaining useful life prediction with uncertainty estimation. Reliab. Eng. Syst. Saf. Rui Bai, Yongbo Li, Jiancheng Yin, Zehang Jiao, Khandaker Noman, Yuhang Wang
2025	J	`jnl`	Spatio-temporal graph convolutional network with domain generalization: A novel rotating machinery RUL prediction method in small samples. Adv. Eng. Informatics Rui Bai, Yongbo Li, Jiancheng Yin, Khandaker Noman
2025	J	`jnl`	Time-Frequency Mode Adaptive Decomposition Based on the Maximum Kurtosis for Extracting Fault Component of Bearings. IEEE Trans. Instrum. Meas. Tao Liu, Shufeng Wang, Xinsan Li, Yongbo Li, Khandaker Noman
2025	J	`jnl`	Trustworthy multimodal feature-enhanced fusion network for non-contact rotating machinery fault diagnosis. Inf. Fusion Wanming Ying, Lunyong Li, Yongbo Li, Teng Wang, Jinde Zheng, Ke Feng
2025	J	`jnl`	Two-Dimensional Image Lempel-Ziv Complexity Calculation Method and Its Application in Defect Detection. Entropy Jiancheng Yin, Wentao Sui, Xuye Zhuang, Yunlong Sheng, Yongbo Li
2024	J	`jnl`	A Novel Nonlinear Dynamic Measure for Early Detection of Bearing Fault Using Weighted Squared Envelope-Based Symbolic Lempel-Ziv Complexity. IEEE Trans. Instrum. Meas. Khandaker Noman, Usman Ali, Yongbo Li, Shun Wang, Anayet U. Patwari, Anil Kumar
2024	J	`jnl`	A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising. Sensors Qiting Zhou, Longxian Xue, Jie He, Sixiang Jia, Yongbo Li
2024	J	`jnl`	Broad zero-shot diagnosis for rotating machinery with untrained compound faults. Reliab. Eng. Syst. Saf. Chenyang Ma, Xianzhi Wang, Yongbo Li, Zhiqiang Cai
2024	J	`jnl`	Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion. Inf. Fusion Sheng Li, Ke Feng, Yadong Xu, Yongbo Li, Qing Ni, Ke Zhang, Yulin Wang, Weiping Ding
2024	J	`jnl`	Local maximum instantaneous extraction transform based on extended autocorrelation function for bearing fault diagnosis. Adv. Eng. Informatics Tao Liu, Laixing Li, Khandaker Noman, Yongbo Li
2024	J	`jnl`	Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions. Eng. Appl. Artif. Intell. Yongchao Zhang, Jinliang Ding, Yongbo Li, Zhaohui Ren, Ke Feng
2024	J	`jnl`	Multi-task learning mixture density network for interval estimation of the remaining useful life of rolling element bearings. Reliab. Eng. Syst. Saf. Xin Wang, Yongbo Li, Khandaker Noman, Asoke K. Nandi
2024	J	`jnl`	Multivariate multiscale dispersion Lempel-Ziv complexity for fault diagnosis of machinery with multiple channels. Inf. Fusion Shun Wang, Yongbo Li, Khandaker Noman, Zhixiong Li, Ke Feng, Zheng Liu, Zichen Deng
2024	J	`jnl`	Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis. Inf. Fusion Dingyi Sun, Yongbo Li, Zheng Liu, Sixiang Jia, Khandaker Noman
2024	J	`jnl`	Sliding time-frequency synchronous average based on autocorrelation function for extracting fault feature of bearings. Adv. Eng. Informatics Tao Liu, Laixing Li, Yongbo Li, Khandaker Noman
2024	J	`jnl`	The Application of Lempel-Ziv Complexity in Medicine Science, Nature Science, Social Science, and Engineering: A Review and Prospect. IEEE Access Jiancheng Yin, Wentao Sui, Xuye Zhuang, Yunlong Sheng, Yongbo Li
2024	J	`jnl`	Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model. Reliab. Eng. Syst. Saf. Rui Bai, Khandaker Noman, Yu Yang, Yongbo Li, Weiguo Guo
2023	J	`jnl`	A Novel Weak Feature Extraction Method for Rotating Machinery: Link Dispersion Entropy. IEEE Trans. Instrum. Meas. Li Ding, Jinchen Ji, Yongbo Li, Shun Wang, Khandaker Noman, Ke Feng
2023	J	`jnl`	A two-phase-based deep neural network for simultaneous health monitoring and prediction of rolling bearings. Reliab. Eng. Syst. Saf. Rui Bai, Khandaker Noman, Ke Feng, Zhike Peng, Yongbo Li
2023	J	`jnl`	Early fault diagnosis of rotating machinery based on composite zoom permutation entropy. Reliab. Eng. Syst. Saf. Chenyang Ma, Yongbo Li, Xianzhi Wang, Zhiqiang Cai
2023	J	`jnl`	Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data. Inf. Fusion Dingyi Sun, Yongbo Li, Sixiang Jia, Ke Feng, Zheng Liu
2023	J	`jnl`	Optimal symbolic entropy: An adaptive feature extraction algorithm for condition monitoring of bearings. Inf. Fusion Chunyun Li, Khandaker Noman, Zheng Liu, Ke Feng, Yongbo Li
2023	J	`jnl`	Oscillatory Lempel-Ziv Complexity Calculation as a Nonlinear Measure for Continuous Monitoring of Bearing Health. IEEE Trans. Reliab. Khandaker Noman, Yongbo Li, Shubin Si, Shun Wang, Gang Mao
2023	J	`jnl`	Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets. Eng. Appl. Artif. Intell. Gang Mao, Yongbo Li, Zhiqiang Cai, Bin Qiao, Sixiang Jia
2022	J	`jnl`	Advanced Fault Diagnosis and Health Monitoring Techniques for Complex Engineering Systems. Sensors Yongbo Li, Bing Li, Jinchen Ji, Hamed Kalhori
2022	J	`jnl`	Advanced Sensing, Fault Diagnostics, and Structural Health Management. Sensors Yongbo Li, Bing Li, Jinchen Ji, Hamed Kalhori
2022	J	`jnl`	Composite Multiscale Transition Permutation Entropy-Based Fault Diagnosis of Bearings. Sensors Jing Guo, Biao Ma, Tiangang Zou, Lin Gui, Yongbo Li
2022	J	`jnl`	Continuous Health Monitoring of Rolling Element Bearing Based on Nonlinear Oscillatory Sample Entropy. IEEE Trans. Instrum. Meas. Khandaker Noman, Yongbo Li, Shun Wang
2022	J	`jnl`	Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions. Entropy Gang Mao, Zhongzheng Zhang, Bin Qiao, Yongbo Li
2022	J	`jnl`	Information Theory and Its Application in Machine Condition Monitoring. Entropy Yongbo Li, Fengshou Gu, Xihui Liang
2022	J	`jnl`	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 Yongbo Li, Shun Wang, Ni Li, Zichen Deng
2022	J	`jnl`	Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain. Sensors Gang Mao, Zhongzheng Zhang, Sixiang Jia, Khandaker Noman, Yongbo Li
2022	J	`jnl`	Variational Embedding Multiscale Diversity Entropy for Fault Diagnosis of Large-Scale Machinery. IEEE Trans. Ind. Electron. Xianzhi Wang, Shubin Si, Yongbo Li
2021	J	`jnl`	A Novel Cross-Domain Intelligent Fault Diagnosis Method Based on Entropy Features and Transfer Learning. IEEE Trans. Instrum. Meas. Yongbo Li, Yu Ren, Huailiang Zheng, Zichen Deng, Shun Wang
2021	J	`jnl`	Cross-Domain Intelligent Fault Diagnosis Method of Rotating Machinery Using Multi-Scale Transfer Fuzzy Entropy. IEEE Access Dangdang Zheng, Bing Han, Geng Liu, Yongbo Li, Huangchao Yu
2021	J	`jnl`	Multiscale Diversity Entropy: A Novel Dynamical Measure for Fault Diagnosis of Rotating Machinery. IEEE Trans. Ind. Informatics Xianzhi Wang, Shubin Si, Yongbo Li
2021	J	`jnl`	Multiscale Symbolic Lempel-Ziv: An Effective Feature Extraction Approach for Fault Diagnosis of Railway Vehicle Systems. IEEE Trans. Ind. Informatics Yongbo Li, Fulong Liu, Shun Wang, Jiancheng Yin
2020	J	`jnl`	Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study. IEEE Trans. Reliab. Yongbo Li, Xianzhi Wang, Shubin Si, Shiqian Huang
2019	J	`jnl`	A Hybrid Approach for Weak Fault Feature Extraction of Gearbox. IEEE Access Yu Wei, Minqiang Xu, Xianzhi Wang, Wenhu Huang, Yongbo Li
2019	J	`jnl`	A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying-Speed Conditions Using Infrared Thermography. Complex. Yongbo Li, Xianzhi Wang, Shubin Si, Xiaoqiang Du
2019	J	`jnl`	An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks. Sensors Yongbo Li, James Xi Gu, Dong Zhen, Minqiang Xu, Andrew D. Ball
2019	J	`jnl`	Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review. IEEE Access Huailiang Zheng, Rixin Wang, Yuantao Yang, Jiancheng Yin, Yongbo Li, Yuqing Li, Minqiang Xu
2019	J	`jnl`	The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery. Entropy Xianzhi Wang, Shubin Si, Yu Wei, Yongbo Li
2018	—	`conf`	A fault diagnosis method of planetary gearbox under variable speed condition using Vold-Kalman filter and Laplacian score. ICPHM Yongbo Li, Xianzhi Wang, Zhiliang Liu, Shubin Si
2018	J	`jnl`	A method based on refined composite multi-scale symbolic dynamic entropy and ISVM-BT for rotating machinery fault diagnosis. Neurocomputing Yongbo Li, Xihui Liang, Yu Wei, Xianzhi Wang
2018	J	`jnl`	Fault Diagnosis of Rolling Bearing Under Speed Fluctuation Condition Based on Vold-Kalman Filter and RCMFE. IEEE Access Yongbo Li, Yu Wei, Ke Feng, Xianzhi Wang, Zhenbao Liu
2018	—	`conf`	Improved Empirical AM and FM Demodulation for Mono-component Signals. ICPHM Dandan Peng, Zhiliang Liu, Ronghui Li, Yongbo Li
2018	—	`conf`	L2-L∞ output-feedback distributed control for multi-vehicle networks. ICPS Zhuo Zhang, Huiping Li, Yongbo Li
2018	J	`jnl`	The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review. IEEE Access Yongbo Li, Xianzhi Wang, Zhenbao Liu, Xihui Liang, Shubin Si
2017	J	`jnl`	Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings. IEEE Trans. Ind. Electron. Yongbo Li, Minqiang Xu, Xihui Liang, Wenhu Huang
2017	J	`jnl`	Early Fault Diagnosis of Rotating Machinery by Combining Differential Rational Spline-Based LMD and K-L Divergence. IEEE Trans. Instrum. Meas. Yongbo Li, Xihui Liang, Yuantao Yang, Minqiang Xu, Wenhu Huang
2016	J	`jnl`	Health Condition Monitoring and Early Fault Diagnosis of Bearings Using SDF and Intrinsic Characteristic-Scale Decomposition. IEEE Trans. Instrum. Meas. Yongbo Li, Minqiang Xu, Yu Wei, Wenhu Huang
2015	J	`jnl`	A new rotating machinery fault diagnosis method based on improved local mean decomposition. Digit. Signal Process. Yongbo Li, Minqiang Xu, Haiyang Zhao, Yu Wei, Wenhu Huang