A Two-Stage Failure Model for Bayesian Change Point Analysis. - Jing Lin 003 (IEEE Trans. Reliab., 2008)

Reliability Analysis for Degradation of Locomotive Wheels using Parametric Bayesian Approach. - Jing Lin 003; Matthias Asplund; Aditya Parida (Qual. Reliab. Eng. Int., 2014)

Reliability analysis for preventive maintenance based on classical and Bayesian semi-parametric degradation approaches using locomotive wheel-sets as a case study. - Jing Lin 003; Julio Pulido; Matthias Asplund (Reliab. Eng. Syst. Saf., 2015)

An angle-based subspace anomaly detection approach to high-dimensional data: With an application to industrial fault detection. - Liangwei Zhang; Jing Lin 003; Ramin Karim (Reliab. Eng. Syst. Saf., 2015)

Reliability evaluation of non-repairable phased-mission common bus systems with common cause failures. - Huan Yu; Jun Yang 018; Jing Lin 003; Yu Zhao 003 (Comput. Ind. Eng., 2017)

Sliding Window-Based Fault Detection From High-Dimensional Data Streams. - Liangwei Zhang; Jing Lin 003; Ramin Karim (IEEE Trans. Syst. Man Cybern. Syst., 2017)

A Dynamic Maintenance Strategy for Prognostics and Health Management of Degrading Systems: Application in Locomotive Wheel-sets. - Bin Liu 025; Jing Lin 003; Liangwei Zhang; Min Xie 001 (ICPHM, 2018)

Adaptive kernel density-based anomaly detection for nonlinear systems. - Liangwei Zhang; Jing Lin 003; Ramin Karim (Knowl. Based Syst., 2018)

Prognostics of polygonalization of high-speed railway train wheels using a generalized additive model smoothed by spline-backfitted kernel. - Zhexiang Chi; Lijian Yang; Jing Lin 003; Simin Huang (ICPHM, 2019)

Bearing Fault Diagnosis Based on Subband Time-Frequency Texture Tensor. - Lin Bo; Guanji Xu; Xiaofeng Liu 008; Jing Lin 003 (IEEE Access, 2019)

An Active Learning Method Based on Uncertainty and Complexity for Gearbox Fault Diagnosis. - Jiayu Chen 002; Dong Zhou; Ziyue Guo; Jing Lin 003; Chuan Lyu; Chen Lu 001 (IEEE Access, 2019)

A Dynamic Prescriptive Maintenance Model Considering System Aging and Degradation. - Bin Liu 025; Jing Lin 003; Liangwei Zhang; Uday Kumar (IEEE Access, 2019)

Deep Learning for Track Quality Evaluation of High-Speed Railway Based on Vehicle-Body Vibration Prediction. - Shuai Ma; Liang Gao 006; Xiubo Liu; Jing Lin 003 (IEEE Access, 2019)

A Review on Deep Learning Applications in Prognostics and Health Management. - Liangwei Zhang; Jing Lin 003; Bin Liu 025; Zhicong Zhang; Xiaohui Yan; Muheng Wei (IEEE Access, 2019)

System availability assessment using a parametric Bayesian approach: a case study of balling drums. - Esi Saari; Jing Lin 003; Liangwei Zhang; Bin Liu 025 (Int. J. Syst. Assur. Eng. Manag., 2019)

Application of Bayesian Networks in Reliability Evaluation. - Baoping Cai; Xiangdi Kong; Yonghong Liu; Jing Lin 003; Xiaobing Yuan; Hongqi Xu; Renjie Ji (IEEE Trans. Ind. Informatics, 2019)

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples. - Zhiyi He; Haidong Shao; Ping Wang; Janet (Jing) Lin; Junsheng Cheng; Yu Yang 009 (Knowl. Based Syst., 2020)

A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance. - Haidong Shao; Jing Lin 003; Liangwei Zhang; Diego Galar; Uday Kumar (Inf. Fusion, 2021)

Robustness of maintenance support service networks: attributes, evaluation and improvement. - Dongming Fan; Jing Lin 003; Baoping Cai; Bin Liu 025 (Reliab. Eng. Syst. Saf., 2021)

End-to-end unsupervised fault detection using a flow-based model. - Liangwei Zhang; Jing Lin 003; Haidong Shao; Zhicong Zhang; Xiaohui Yan; Jianyu Long (Reliab. Eng. Syst. Saf., 2021)

Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging. - Xin Li 095; Yong Li; Ke Yan 001; Haidong Shao; Janet (Jing) Lin (Reliab. Eng. Syst. Saf., 2023)

A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions. - Liangwei Zhang; Qi Fan; Jing Lin 003; Zhicong Zhang; Xiaohui Yan; Chuan Li 003 (Eng. Appl. Artif. Intell., 2023)

Human-Centric and Integrative Lighting Asset Management in Public Libraries: Qualitative Insights and Challenges From a Swedish Field Study. - Jing Lin 003; Per Olof Hedekvist; Nina Mylly; Math Bollen; Jingchun Shen; Jiawei Xiong; Christofer Silfvenius (IEEE Access, 2024)

A Novel Context driven Critical Integrative Levels (CIL) Approach: Advancing Human-Centric and Integrative Lighting Asset Management in Public Libraries with Practical Thresholds. - Jing Lin 003; Nina Mylly; Per Olof Hedekvist; Jingchun Shen (CoRR, 2024)

Masked Autoencoder via End-to-End Zero-Shot Learning for Fault Diagnosis of Unseen Classes. - Jianyu Long; Jing Lin 003; Lingli Jiang; Zhe Yang 014; Jianwen Guo; Tao Yin; Chuan Li 003 (IEEE Trans. Instrum. Meas., 2024)

Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform. - Liangwei Zhang; Jing Lin 003; Zhe Yang 014; Haidong Shao; Biyu Liu; Chuan Li 003 (IEEE Internet Things J., 2024)

Measurement Capability Evaluation of Acoustic Emission Sensors in IIoT System for PHM. - Haizhou Chen; Jing Lin 003; Hualin Yang; Guanji Xu (IEEE Internet Things J., 2024)