Effect of sliding friction on transient characteristics of a gear transmission under random loading. - Yining Fang; Xihui Liang; Ming Jian Zuo (SMC, 2017)

Markov process based time limited dispatch analysis with constraints of both dispatch reliability and average safety levels. - Zhong Lu; Xihui Liang; Ming Jian Zuo; Jia Zhou (Reliab. Eng. Syst. Saf., 2017)

Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings. - Yongbo Li; Minqiang Xu; Xihui Liang; Wenhu Huang (IEEE Trans. Ind. Electron., 2017)

Early Fault Diagnosis of Rotating Machinery by Combining Differential Rational Spline-Based LMD and K-L Divergence. - Yongbo Li; Xihui Liang; Yuantao Yang; Minqiang Xu; Wenhu Huang (IEEE Trans. Instrum. Meas., 2017)

Time series modeling of vibration signals from a gearbox under varying speed and load condition. - Yuejian Chen; Xihui Liang; Ming Jian Zuo (ICPHM, 2018)

Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder. - Wentao Mao; Siyu Tian; Xihui Liang; Jianliang He (ICPHM, 2018)

The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review. - Yongbo Li; Xianzhi Wang 002; Zhenbao Liu; Xihui Liang; Shubin Si (IEEE Access, 2018)

A method based on refined composite multi-scale symbolic dynamic entropy and ISVM-BT for rotating machinery fault diagnosis. - Yongbo Li; Xihui Liang; Yu Wei; Xianzhi Wang 002 (Neurocomputing, 2018)

An Integrated Prognostics Method for Failure Time Prediction of Gears Subject to the Surface Wear Failure Mode. - Fuqiong Zhao; Zhigang Tian; Xihui Liang; Mingjiang Xie (IEEE Trans. Reliab., 2018)

A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching. - Wentao Mao; Jiaxian Chen; Xihui Liang; Xinming Zhang 002 (IEEE Trans. Instrum. Meas., 2020)

A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting. - Keying Liu; Wentao Mao; Huadong Shi; Xihui Liang (IEEE Access, 2021)

Construction of Health Indicators for Rotating Machinery Using Deep Transfer Learning With Multiscale Feature Representation. - Wentao Mao; Jiaxian Chen; Yuejian Chen; Sajad Saraygord Afshari; Xihui Liang (IEEE Trans. Instrum. Meas., 2021)

A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions. - Wentao Mao; Yamin Liu; Ling Ding; Ali Safian; Xihui Liang (IEEE Trans. Instrum. Meas., 2021)

Information Theory and Its Application in Machine Condition Monitoring. - Yongbo Li; Fengshou Gu; Xihui Liang (Entropy, 2022)

Machine learning-based methods in structural reliability analysis: A review. - Sajad Saraygord Afshari; Fatemeh Enayatollahi; Xiangyang Xu; Xihui Liang (Reliab. Eng. Syst. Saf., 2022)

Remaining Useful Life Early Prediction of Batteries Based on the Differential Voltage and Differential Capacity Curves. - Sajad Saraygord Afshari; Shihao Cui; Xiangyang Xu; Xihui Liang (IEEE Trans. Instrum. Meas., 2022)

Adaptive Cost Function Ridge Estimation for Rolling Bearing Fault Diagnosis Under Variable Speed Conditions. - Yifan Li 010; Yaocheng Yang; Sajad Saraygord Afshari; Xihui Liang; Zaigang Chen (IEEE Trans. Instrum. Meas., 2022)

An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion. - Wentao Mao; Jing Liu; Jiaxian Chen; Xihui Liang (IEEE Trans. Instrum. Meas., 2022)

Unsupervised Deep Multitask Anomaly Detection With Robust Alarm Strategy for Online Evaluation of Bearing Early Fault Occurrence. - Wentao Mao; Huadong Shi; Gangsheng Wang; Xihui Liang (IEEE Trans. Instrum. Meas., 2022)

Bearing fault detection and fault size estimation using an integrated PVDF transducer. - Ali Safian; Xihui Liang (ICPHM, 2023)

Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning. - Wentao Mao; Gangsheng Wang; Linlin Kou; Xihui Liang (IEEE CAA J. Autom. Sinica, 2023)

Self-Supervised Deep Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction of Rolling Bearing Under Unknown Working Condition. - Wentao Mao; Jiaxian Chen; Jing Liu; Xihui Liang (IEEE Trans. Ind. Informatics, 2023)

Self-Supervised Deep Tensor Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction Across Machines. - Wentao Mao; Keying Liu; Yanna Zhang 001; Xihui Liang; Zhijian Wang 001 (IEEE Trans. Instrum. Meas., 2023)

A New Deep Tensor Autoencoder Network for Unsupervised Health Indicator Construction and Degradation State Evaluation of Metro Wheel. - Wentao Mao; Yu Wang 259; Linlin Kou; Xihui Liang (IEEE Trans. Instrum. Meas., 2023)

An optimizing maintenance policy for airborne redundant systems operating with faults by using Markov process and NSGA-II. - Dawei Cheng; Zhong Lu; Jia Zhou; Xihui Liang (Reliab. Eng. Syst. Saf., 2023)

A novel remaining useful life prediction method under multiple operating conditions based on attention mechanism and deep learning. - Jie Wang; Zhong Lu; Jia Zhou; Kai-Uwe Schröder; Xihui Liang (Adv. Eng. Informatics, 2025)

An improved Cox proportional hazards model for reliability analysis of aviation gas turbines considering varying environmental conditions and operational settings. - Bo Cui; Shazaib Ahsan; Jie Zhang; Xihui Liang (Reliab. Eng. Syst. Saf., 2026)