Jing Lin
Orcid: 0000-0002-7458-6820Affiliations:
- Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Sweden
According to our database1,
Jing Lin
authored at least 27 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Measurement Capability Evaluation of Acoustic Emission Sensors in IIoT System for PHM.
IEEE Internet Things J., September, 2024
Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform.
IEEE Internet Things J., July, 2024
Masked Autoencoder via End-to-End Zero-Shot Learning for Fault Diagnosis of Unseen Classes.
IEEE Trans. Instrum. Meas., 2024
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
Human-Centric and Integrative Lighting Asset Management in Public Libraries: Qualitative Insights and Challenges From a Swedish Field Study.
IEEE Access, 2024
2023
A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions.
Eng. Appl. Artif. Intell., March, 2023
Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging.
Reliab. Eng. Syst. Saf., 2023
2021
Reliab. Eng. Syst. Saf., 2021
Robustness of maintenance support service networks: attributes, evaluation and improvement.
Reliab. Eng. Syst. Saf., 2021
A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance.
Inf. Fusion, 2021
2020
Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples.
Knowl. Based Syst., 2020
2019
IEEE Trans. Ind. Informatics, 2019
System availability assessment using a parametric Bayesian approach: a case study of balling drums.
Int. J. Syst. Assur. Eng. Manag., 2019
IEEE Access, 2019
Deep Learning for Track Quality Evaluation of High-Speed Railway Based on Vehicle-Body Vibration Prediction.
IEEE Access, 2019
IEEE Access, 2019
An Active Learning Method Based on Uncertainty and Complexity for Gearbox Fault Diagnosis.
IEEE Access, 2019
IEEE Access, 2019
Prognostics of polygonalization of high-speed railway train wheels using a generalized additive model smoothed by spline-backfitted kernel.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
2018
Knowl. Based Syst., 2018
A Dynamic Maintenance Strategy for Prognostics and Health Management of Degrading Systems: Application in Locomotive Wheel-sets.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
Reliability evaluation of non-repairable phased-mission common bus systems with common cause failures.
Comput. Ind. Eng., 2017
2015
An angle-based subspace anomaly detection approach to high-dimensional data: With an application to industrial fault detection.
Reliab. Eng. Syst. Saf., 2015
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., 2015
2014
Reliability Analysis for Degradation of Locomotive Wheels using Parametric Bayesian Approach.
Qual. Reliab. Eng. Int., 2014
2008
IEEE Trans. Reliab., 2008