Jing Lin

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 19

Top Topics

Fault Diagnosis

Top Venues

Reliab. Eng. Syst. Saf.

Publications

Jing Lin, Per Olof Hedekvist, Nina Mylly, Math Bollen, Jingchun Shen, Jiawei Xiong, Christofer Silfvenius
Human-Centric and Integrative Lighting Asset Management in Public Libraries: Qualitative Insights and Challenges From a Swedish Field Study. IEEE Access 12 (2024)
Liangwei Zhang, Jing Lin, Zhe Yang, Haidong Shao, Biyu Liu, Chuan Li
Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform. IEEE Internet Things J. 11 (13) (2024)
Jing Lin, Nina Mylly, Per Olof Hedekvist, Jingchun Shen
A Novel Context driven Critical Integrative Levels (CIL) Approach: Advancing Human-Centric and Integrative Lighting Asset Management in Public Libraries with Practical Thresholds. CoRR (2024)
Liangwei Zhang, Qi Fan, Jing Lin, Zhicong Zhang, Xiaohui Yan, Chuan Li
A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions. Eng. Appl. Artif. Intell. 119 (2023)
Liangwei Zhang, Jing Lin, Haidong Shao, Zhicong Zhang, Xiaohui Yan, Jianyu Long
End-to-end unsupervised fault detection using a flow-based model. Reliab. Eng. Syst. Saf. 215 (2021)
Haidong Shao, Jing Lin, Liangwei Zhang, Diego Galar, Uday Kumar
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance. Inf. Fusion 74 (2021)
Dongming Fan, Jing Lin, Baoping Cai, Bin Liu
Robustness of maintenance support service networks: attributes, evaluation and improvement. Reliab. Eng. Syst. Saf. 210 (2021)
Lin Bo, Guanji Xu, Xiaofeng Liu, Jing Lin
Bearing Fault Diagnosis Based on Subband Time-Frequency Texture Tensor. IEEE Access 7 (2019)
Liangwei Zhang, Jing Lin, Bin Liu, Zhicong Zhang, Xiaohui Yan, Muheng Wei
A Review on Deep Learning Applications in Prognostics and Health Management. IEEE Access 7 (2019)
Esi Saari, Jing Lin, Liangwei Zhang, Bin Liu
System availability assessment using a parametric Bayesian approach: a case study of balling drums. Int. J. Syst. Assur. Eng. Manag. 10 (4) (2019)
Jiayu Chen, Dong Zhou, Ziyue Guo, Jing Lin, Chuan Lyu, Chen Lu
An Active Learning Method Based on Uncertainty and Complexity for Gearbox Fault Diagnosis. IEEE Access 7 (2019)
Shuai Ma, Liang Gao, Xiubo Liu, Jing Lin
Deep Learning for Track Quality Evaluation of High-Speed Railway Based on Vehicle-Body Vibration Prediction. IEEE Access 7 (2019)
Bin Liu, Jing Lin, Liangwei Zhang, Uday Kumar
A Dynamic Prescriptive Maintenance Model Considering System Aging and Degradation. IEEE Access 7 (2019)
Zhexiang Chi, Lijian Yang, Jing Lin, Simin Huang
Prognostics of polygonalization of high-speed railway train wheels using a generalized additive model smoothed by spline-backfitted kernel. ICPHM (2019)
Baoping Cai, Xiangdi Kong, Yonghong Liu, Jing Lin, Xiaobing Yuan, Hongqi Xu, Renjie Ji
Application of Bayesian Networks in Reliability Evaluation. IEEE Trans. Ind. Informatics 15 (4) (2019)
Liangwei Zhang, Jing Lin, Ramin Karim
Adaptive kernel density-based anomaly detection for nonlinear systems. Knowl. Based Syst. 139 (2018)
Bin Liu, Jing Lin, Liangwei Zhang, Min Xie
A Dynamic Maintenance Strategy for Prognostics and Health Management of Degrading Systems: Application in Locomotive Wheel-sets. ICPHM (2018)
Huan Yu, Jun Yang, Jing Lin, Yu Zhao
Reliability evaluation of non-repairable phased-mission common bus systems with common cause failures. Comput. Ind. Eng. 111 (2017)
Liangwei Zhang, Jing Lin, Ramin Karim
Sliding Window-Based Fault Detection From High-Dimensional Data Streams. IEEE Trans. Syst. Man Cybern. Syst. 47 (2) (2017)
Liangwei Zhang, Jing Lin, Ramin Karim
An angle-based subspace anomaly detection approach to high-dimensional data: With an application to industrial fault detection. Reliab. Eng. Syst. Saf. 142 (2015)
Jing Lin, Julio Pulido, Matthias Asplund
Reliability analysis for preventive maintenance based on classical and Bayesian semi-parametric degradation approaches using locomotive wheel-sets as a case study. Reliab. Eng. Syst. Saf. 134 (2015)
Jing Lin, Matthias Asplund, Aditya Parida
Reliability Analysis for Degradation of Locomotive Wheels using Parametric Bayesian Approach. Qual. Reliab. Eng. Int. 30 (5) (2014)
Jing Lin
A Two-Stage Failure Model for Bayesian Change Point Analysis. IEEE Trans. Reliab. 57 (2) (2008)