Bearing Fault Diagnostics Based on Reconstructed Features. - Jie Liu 015; Shahab Ghafari; Wilson Wang; M. Farid Golnaraghi; Fathy Ismail (IAS, 2008)

An Extended Wavelet Spectrum for Bearing Fault Diagnostics. - Jie Liu 015; Wilson Wang; M. Farid Golnaraghi (IEEE Trans. Instrum. Meas., 2008)

A novel fuzzy framework for nonlinear system control. - Jie Liu 015; Wilson Wang; M. Farid Golnaraghi; Eric Kubica (Fuzzy Sets Syst., 2010)

A neural fuzzy framework for system mapping applications. - Jie Liu 015; Wilson Wang; M. Farid Golnaraghi; Eric Kubica (Knowl. Based Syst., 2010)

An Enhanced Diagnostic Scheme for Bearing Condition Monitoring. - Jie Liu 015; Wilson Wang; M. Farid Golnaraghi (IEEE Trans. Instrum. Meas., 2010)

Model Fusion-Based Batch Learning with Application to Oil Spills Detection. - Chunsheng Yang; Yubin Yang; Jie Liu 015 (IEA/AIE, 2012)

Particle Filter-Based Method for Prognostics with Application to Auxiliary Power Unit. - Chunsheng Yang; Qingfeng Lou; Jie Liu 015; Yubin Yang; Yun Bai (IEA/AIE (1), 2014)

Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm. - Datong Liu; Yue Luo; Jie Liu 015; Yu Peng 002; Limeng Guo; Michael G. Pecht (Neural Comput. Appl., 2014)

A Cloud-Based Platform for Supporting Research Collaboration. - Andrew McGregor 004; Don Bennett; Shikharesh Majumdar; Biswajit Nandy; Jose Orlando Melendez; Marc St-Hilaire; David T. Lau; Jie Liu 015 (CLOUD, 2015)

Particle Filter-Based Approach to Estimate Remaining Useful Life for Predictive Maintenance. - Chunsheng Yang; Qingfeng Lou; Jie Liu 015; Hongyu Guo; Yun Bai (IEA/AIE, 2015)

A Physics-Based Modeling Approach for Performance Monitoring in Gas Turbine Engines. - Houman Hanachi; Jie Liu 015; Avisekh Banerjee; Ying Chen; Ashok Koul (IEEE Trans. Reliab., 2015)

Intelligent stereo camera mobile platform for indoor service robot research. - Kun Zhuang; Chunsheng Yang; Yubin Yang; Jie Liu 015; Nan Jiang (CSCWD, 2016)

Frequency analysis on vibration signatures for gearbox spalling defect detection. - Weidong Li; Azzedine Dadouche; Jie Liu 015 (ICPHM, 2016)

Simulation of ultrasonic testing for resolution of corrosion detection in pipes. - Qianyue Qian; Houman Hanachi; Jie Liu 015; Junjie Gu; Fai Ma; Ashok Koul; Avisekh Banerjee (ICPHM, 2016)

Developing machine learning-based models to estimate time to failure for PHM. - Chunsheng Yang; Takayuki Ito 001; Yubin Yang; Jie Liu 015 (ICPHM, 2016)

Enhancement of prognostic models for short-term degradation of gas turbines. - Houman Hanachi; Christopher Mechefske; Jie Liu 015; Avisekh Banerjee; Ying Chen (ICPHM, 2017)

Machine learning-based methods for TTF estimation with application to APU prognostics. - Chunsheng Yang; Sylvain Létourneau; Jie Liu 015; Qiangqiang Chen; Yubin Yang (Appl. Intell., 2017)

Physics-based Model and Neural Network Model for Monitoring Starter Degradation of APU. - Yu Zhang; Jie Liu 015; Houman Hanachi; Xin Yu; Yubin Yang (ICPHM, 2018)

Particle filtering-based methods for time to failure estimation with a real-world prognostic application. - Chunsheng Yang; Qingfeng Lou; Jie Liu 015; Yubin Yang; Qiangqiang Cheng (Appl. Intell., 2018)

Performance-Based Gas Turbine Health Monitoring, Diagnostics, and Prognostics: A Survey. - Houman Hanachi; Christopher Mechefske; Jie Liu 015; Avisekh Banerjee; Ying Chen (IEEE Trans. Reliab., 2018)

Outlier Detection for Monitoring Data Using Stacked Autoencoder. - Fangyi Wan; Gaodeng Guo; Chunlin Zhang; Qing Guo 009; Jie Liu 015 (IEEE Access, 2019)

Isolation and Identification of Compound Faults in Rotating Machinery via Adaptive Deep Filtering Technique. - Chunlin Zhang; Yuling Liu; Fangyi Wan; Binqiang Chen; Jie Liu 015 (IEEE Access, 2019)

Graph-Based Change Detection for Condition Monitoring of Rotating Machines: Techniques for Graph Similarity. - Teng Wang 002; Guoliang Lu; Jie Liu 015; Peng Yan 001 (IEEE Trans. Reliab., 2019)

Temporal-Spatio Graph Based Spectrum Analysis for Bearing Fault Detection and Diagnosis. - Teng Wang 002; Zheng Liu 002; Guoliang Lu; Jie Liu 015 (IEEE Trans. Ind. Electron., 2021)

A digital twin-enhanced semi-supervised framework for motor fault diagnosis based on phase-contrastive current dot pattern. - Pengcheng Xia; Yixiang Huang; Zhiyu Tao; Chengliang Liu 001; Jie Liu 015 (Reliab. Eng. Syst. Saf., 2023)

Multiscale Dynamic Weight-Based Mixed Convolutional Neural Network for Fault Diagnosis of Rotating Machinery. - Wenliao Du; Lingkai Yang; Xiaoyun Gong; Jie Liu 015; Hongchao Wang 002 (IEEE Trans. Instrum. Meas., 2025)

Learn to Supervise: Deep Reinforcement Learning-Based Prototype Refinement for Few-Shot Motor Fault Diagnosis. - Pengcheng Xia; Yixiang Huang; Chengliang Liu 001; Jie Liu 015 (IEEE Trans. Neural Networks Learn. Syst., 2025)