Parameterized model based blind intrinsic chirp source separation. - Peng Zhou 016; Yang Yang 119; Shiqian Chen; Zhike Peng; Khandaker Noman; Wenming Zhang (Digit. Signal Process., 2018)

Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain. - Gang Mao; Zhongzheng Zhang; Sixiang Jia; Khandaker Noman; Yongbo Li (Sensors, 2022)

Continuous Health Monitoring of Rolling Element Bearing Based on Nonlinear Oscillatory Sample Entropy. - Khandaker Noman; Yongbo Li; Shun Wang 003 (IEEE Trans. Instrum. Meas., 2022)

Optimal symbolic entropy: An adaptive feature extraction algorithm for condition monitoring of bearings. - Chunyun Li; Khandaker Noman; Zheng Liu 002; Ke Feng; Yongbo Li (Inf. Fusion, 2023)

A Novel Weak Feature Extraction Method for Rotating Machinery: Link Dispersion Entropy. - Li Ding; Jinchen Ji; Yongbo Li; Shun Wang 003; Khandaker Noman; Ke Feng (IEEE Trans. Instrum. Meas., 2023)

Oscillatory Lempel-Ziv Complexity Calculation as a Nonlinear Measure for Continuous Monitoring of Bearing Health. - Khandaker Noman; Yongbo Li; Shubin Si; Shun Wang 003; Gang Mao (IEEE Trans. Reliab., 2023)

A two-phase-based deep neural network for simultaneous health monitoring and prediction of rolling bearings. - Rui Bai; Khandaker Noman; Ke Feng; Zhike Peng; Yongbo Li (Reliab. Eng. Syst. Saf., 2023)

Sliding time-frequency synchronous average based on autocorrelation function for extracting fault feature of bearings. - Tao Liu 039; Laixing Li; Yongbo Li; Khandaker Noman (Adv. Eng. Informatics, 2024)

Local maximum instantaneous extraction transform based on extended autocorrelation function for bearing fault diagnosis. - Tao Liu 039; Laixing Li; Khandaker Noman; Yongbo Li (Adv. Eng. Informatics, 2024)

Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis. - Dingyi Sun; Yongbo Li; Zheng Liu 002; Sixiang Jia; Khandaker Noman (Inf. Fusion, 2024)

Parallel structure of crayfish optimization with arithmetic optimization for classifying the friction behaviour of Ti-6Al-4V alloy for complex machinery applications. - Sumika Chauhan; Govind Vashishtha; Munish Kumar Gupta; Mehmet Erdi Korkmaz; Recep Demirsöz; Khandaker Noman; Vitalii Kolesnyk (Knowl. Based Syst., 2024)

Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model. - Rui Bai; Khandaker Noman; Yu Yang; Yongbo Li; Weiguo Guo (Reliab. Eng. Syst. Saf., 2024)

Multi-task learning mixture density network for interval estimation of the remaining useful life of rolling element bearings. - Xin Wang 052; Yongbo Li; Khandaker Noman; Asoke K. Nandi (Reliab. Eng. Syst. Saf., 2024)

A Novel Nonlinear Dynamic Measure for Early Detection of Bearing Fault Using Weighted Squared Envelope-Based Symbolic Lempel-Ziv Complexity. - Khandaker Noman; Usman Ali; Yongbo Li; Shun Wang 003; Anayet U. Patwari; Anil Kumar 005 (IEEE Trans. Instrum. Meas., 2024)

Multivariate multiscale dispersion Lempel-Ziv complexity for fault diagnosis of machinery with multiple channels. - Shun Wang 003; Yongbo Li; Khandaker Noman; Zhixiong Li; Ke Feng; Zheng Liu 002; Zichen Deng (Inf. Fusion, 2024)

Spatio-temporal graph convolutional network with domain generalization: A novel rotating machinery RUL prediction method in small samples. - Rui Bai; Yongbo Li; Jiancheng Yin; Khandaker Noman (Adv. Eng. Informatics, 2025)

AddManBERT: A combinatorial triples extraction and classification task for establishing a knowledge graph to facilitate design for additive manufacturing. - Auwal Haruna; Khandaker Noman; Yongbo Li; Xin Wang; Md Junayed Hasan; Ahmad Bala Alhassan (Adv. Eng. Informatics, 2025)

Fuzzy diversity entropy as a nonlinear measure for the intelligent fault diagnosis of rotating machinery. - Zehang Jiao; Khandaker Noman; Qingbo He; Zichen Deng; Yongbo Li; K. Eliker (Adv. Eng. Informatics, 2025)

FedPM-SGN: A federated graph network for aviation equipment fault diagnosis by multi-sensor fusion in decentralized and heterogeneous setting. - Gang Mao; Hui Li; Longxian Xue; Yongbo Li; Zhiqiang Cai 003; Khandaker Noman (Inf. Fusion, 2025)

Physics-driven Bayesian long short-term memory network for machinery remaining useful life prediction with uncertainty estimation. - Rui Bai; Yongbo Li; Jiancheng Yin; Zehang Jiao; Khandaker Noman; Yuhang Wang (Reliab. Eng. Syst. Saf., 2025)

Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method. - Sixiang Jia; Dingyi Sun; Khandaker Noman; Xin Wang; Yongbo Li (Reliab. Eng. Syst. Saf., 2025)

Multisource Heterogeneous Information Fusion Based on Graph Convolutional Network for Gearbox Fault Diagnosis. - Siyuan Gao; Khandaker Noman; Gang Mao; Zichen Deng; Yongbo Li; Wenqing Ge (IEEE Trans. Instrum. Meas., 2025)

Extended Sliding Time Synchronous Averaging for Enhancing Weak Fault Feature of Rolling Bearings. - Laixing Li; Yongbo Li; Tao Liu 039; Khandaker Noman; Huijun Shi; Shuai Shi (IEEE Trans. Instrum. Meas., 2025)

Time-Frequency Mode Adaptive Decomposition Based on the Maximum Kurtosis for Extracting Fault Component of Bearings. - Tao Liu 039; Shufeng Wang; Xinsan Li; Yongbo Li; Khandaker Noman (IEEE Trans. Instrum. Meas., 2025)