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Jing Lin 0001
Person information
- affiliation: Beihang University, Science & Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing, China
Other persons with the same name
- Jing Lin — disambiguation page
- Jing Lin 0002 — University of Texas at Austin, TX, USA
- Jing Lin 0003 (aka: Janet (Jing) Lin) — Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Sweden
- Jing Lin 0004 — Tsinghua University, Department of Construction Management, Tsinghua, China
- Jing Lin 0005 — Shanghai Academy of Spaceflight Technology, Shanghai, China
- Jing Lin 0006 — Fujian Jiangxia University, Fuzhou, China
- Jing Lin 0007 — Missouri University of Science and Technology, Rolla, MO, USA
- Jing Lin 0008 — Shenzhen University, College of Computer Science and Software Engineering, China
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2020 – today
- 2024
- [j48]Hao Li, Jing Lin, Zongyang Liu, Jinyang Jiao, Boyao Zhang:
An interpretable waveform segmentation model for bearing fault diagnosis. Adv. Eng. Informatics 61: 102480 (2024) - [j47]Tian Zhang, Jing Lin, Jinyang Jiao, Hao Li:
Cross-domain data fusion generation: A novel composite label-guided generative solution for adaptation diagnosis. Knowl. Based Syst. 301: 112284 (2024) - [j46]Boyao Zhang, Jing Lin, Yonghao Miao, Jinyang Jiao, Hanyang Liu:
Harmonic Sparse Structured Nonnegative Matrix Factorization: A Novel Method for the Separation of Coupled Fault Feature. IEEE Trans. Ind. Informatics 20(4): 6209-6221 (2024) - [j45]Tian Zhang, Jing Lin, Jinyang Jiao, Han Zhang, Hao Li:
An Interpretable Latent Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Limited Data. IEEE Trans. Ind. Informatics 20(8): 10354-10365 (2024) - [j44]Jinyang Jiao, Hao Li, Jing Lin, Hui Zhang:
Entropy-Oriented Domain Adaptation for Intelligent Diagnosis of Rotating Machinery. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 1239-1249 (2024) - 2023
- [j43]Zongyang Liu, Hao Li, Jing Lin, Jinyang Jiao, Tian Shen, Boyao Zhang, Hanyang Liu:
A novel acoustic emission signal segmentation network for bearing fault fingerprint feature extraction under varying speed conditions. Eng. Appl. Artif. Intell. 126: 106819 (2023) - [j42]Yonghao Miao, Boyao Zhang, Chenhui Li, Jing Lin, Dayi Zhang:
Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis. IEEE Trans. Ind. Electron. 70(2): 1949-1960 (2023) - [j41]Jinyang Jiao, Hao Li, Jing Lin:
Self-Training Reinforced Adversarial Adaptation for Machine Fault Diagnosis. IEEE Trans. Ind. Electron. 70(11): 11649-11658 (2023) - [j40]Jinyang Jiao, Hao Li, Tian Zhang, Jing Lin:
Source-Free Adaptation Diagnosis for Rotating Machinery. IEEE Trans. Ind. Informatics 19(9): 9586-9595 (2023) - [j39]Dingcheng Ji, Jing Lin, Fei Gao:
The High-Sparsity Lamb Wavefield Reconstruction Framework Based on Masked Autoencoder. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j38]Hao Li, Fei Gao, Jinyang Jiao, Zongyang Liu, Dingcheng Ji, Jing Lin:
Acoustic Emission-Based Cross-Domain Process Health Monitoring for Additive Manufacturing. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - 2022
- [j37]Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang, Chuancang Ding:
A mixed adversarial adaptation network for intelligent fault diagnosis. J. Intell. Manuf. 33(8): 2207-2222 (2022) - [j36]Tian Zhang, Jinyang Jiao, Jing Lin, Hao Li, Jiadong Hua, Dong He:
Uncertainty-based contrastive prototype-matching network towards cross-domain fault diagnosis with small data. Knowl. Based Syst. 254: 109651 (2022) - [j35]Jinyang Jiao, Jing Lin, Ming Zhao, Kaixuan Liang, Chuancang Ding:
Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis. Neural Networks 145: 331-341 (2022) - [j34]Jinyang Jiao, Ming Zhao, Jing Lin:
Multi-Weight Domain Adversarial Network for Partial-Set Transfer Diagnosis. IEEE Trans. Ind. Electron. 69(4): 4275-4284 (2022) - [j33]Kaixuan Liang, Ming Zhao, Jing Lin, Jinyang Jiao, Chuancang Ding:
Toothwise Health Monitoring of Planetary Gearbox Under Time-Varying Speed Condition Based on Rotating Encoder Signal. IEEE Trans. Ind. Electron. 69(6): 6267-6277 (2022) - [j32]Jinyang Jiao, Kaixuan Liang, Chuancang Ding, Jing Lin:
Towards Prediction Constraints: A Novel Domain Adaptation Method for Machine Fault Diagnosis. IEEE Trans. Ind. Informatics 18(10): 7198-7207 (2022) - 2020
- [j31]Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang:
A comprehensive review on convolutional neural network in machine fault diagnosis. Neurocomputing 417: 36-63 (2020) - [j30]Jinyang Jiao, Jing Lin, Ming Zhao, Kaixuan Liang:
Double-level adversarial domain adaptation network for intelligent fault diagnosis. Knowl. Based Syst. 205: 106236 (2020) - [j29]Chuancang Ding, Ming Zhao, Jing Lin, Jinyang Jiao, Kaixuan Liang:
Sparsity-Based Algorithm for Condition Assessment of Rotating Machinery Using Internal Encoder Data. IEEE Trans. Ind. Electron. 67(9): 7982-7993 (2020) - [j28]Jinyang Jiao, Ming Zhao, Jing Lin:
Unsupervised Adversarial Adaptation Network for Intelligent Fault Diagnosis. IEEE Trans. Ind. Electron. 67(11): 9904-9913 (2020) - [j27]Jinyang Jiao, Ming Zhao, Jing Lin, Chuancang Ding:
Classifier Inconsistency-Based Domain Adaptation Network for Partial Transfer Intelligent Diagnosis. IEEE Trans. Ind. Informatics 16(9): 5965-5974 (2020) - [j26]Kai Jiang, Hui Zhang, Hamid Reza Karimi, Jing Lin, Lingjun Song:
Simultaneous Input and State Estimation for Integrated Motor-Transmission Systems in a Controller Area Network Environment via an Adaptive Unscented Kalman Filter. IEEE Trans. Syst. Man Cybern. Syst. 50(4): 1570-1579 (2020) - [i1]Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang:
A comprehensive review on convolutional neural network in machine fault diagnosis. CoRR abs/2002.07605 (2020)
2010 – 2019
- 2019
- [j25]Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang:
Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings. Reliab. Eng. Syst. Saf. 184: 41-54 (2019) - [j24]Yonghao Miao, Ming Zhao, Jing Lin:
Periodicity-Impulsiveness Spectrum Based on Singular Value Negentropy and Its Application for Identification of Optimal Frequency Band. IEEE Trans. Ind. Electron. 66(4): 3127-3138 (2019) - [j23]Jinyang Jiao, Ming Zhao, Jing Lin, Chuancang Ding:
Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis. IEEE Trans. Ind. Electron. 66(12): 9858-9867 (2019) - [j22]Ming Zhao, Jinyang Jiao, Jing Lin:
A Data-Driven Monitoring Scheme for Rotating Machinery Via Self-Comparison Approach. IEEE Trans. Ind. Informatics 15(4): 2435-2445 (2019) - 2018
- [j21]Feng Jia, Yaguo Lei, Liang Guo, Jing Lin, Saibo Xing:
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines. Neurocomputing 272: 619-628 (2018) - [j20]Jinyang Jiao, Ming Zhao, Jing Lin, Jian Zhao:
A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes. Knowl. Based Syst. 160: 237-250 (2018) - [j19]Ming Zhao, Jing Lin:
Health Assessment of Rotating Machinery Using a Rotary Encoder. IEEE Trans. Ind. Electron. 65(3): 2548-2556 (2018) - [j18]Kai Jiang, Hui Zhang, Jing Lin:
NH3 Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter. IEEE Trans. Veh. Technol. 67(4): 3625-3629 (2018) - 2017
- [j17]Liang Guo, Naipeng Li, Feng Jia, Yaguo Lei, Jing Lin:
A recurrent neural network based health indicator for remaining useful life prediction of bearings. Neurocomputing 240: 98-109 (2017) - [j16]Liang Zeng, Jing Lin, Liping Huang:
A Modified Lamb Wave Time-Reversal Method for Health Monitoring of Composite Structures. Sensors 17(5): 955 (2017) - [j15]Naipeng Li, Yaguo Lei, Liang Guo, Tao Yan, Jing Lin:
Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models. IEEE Trans. Ind. Electron. 64(7): 5709-5718 (2017) - [c7]Yaguo Lei, Zijian Qiao, Xuefang Xu, Jing Lin:
Weak signal detection based on underdamped multistable stochastic resonance. I2MTC 2017: 1-6 - [c6]Biao Wang, Yaguo Lei, Naipeng Li, Jing Lin:
An improved fusion prognostics method for remaining useful life prediction of bearings. ICPHM 2017: 18-24 - [c5]Naipeng Li, Yaguo Lei, Ningbo Li, Jing Lin:
Machine remaining useful life prediction considering unit-to-unit variability. ICPHM 2017: 103-108 - 2016
- [j14]Liang Zeng, Jing Lin, Liping Huang, Ming Zhao:
Amplitude Dispersion Compensation for Damage Detection Using Ultrasonic Guided Waves. Sensors 16(10): 1623 (2016) - [j13]Ming Zhao, Jing Lin, Yonghao Miao, Xiaoqiang Xu:
Feature Mining and Health Assessment for Gearboxes Using Run-Up/Coast-Down Signals. Sensors 16(11): 1837 (2016) - [j12]Yaguo Lei, Feng Jia, Jing Lin, Saibo Xing, Steven X. Ding:
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data. IEEE Trans. Ind. Electron. 63(5): 3137-3147 (2016) - [j11]Jing Lin, Fei Gao, Zhi Luo, Liang Zeng:
High-Resolution Lamb Wave Inspection in Viscoelastic Composite Laminates. IEEE Trans. Ind. Electron. 63(11): 6989-6998 (2016) - [j10]Yaguo Lei, Naipeng Li, Jing Lin:
A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 65(12): 2671-2684 (2016) - [j9]Yaguo Lei, Naipeng Li, Szymon Gontarz, Jing Lin, Stanislaw Radkowski, Jacek Dybala:
A Model-Based Method for Remaining Useful Life Prediction of Machinery. IEEE Trans. Reliab. 65(3): 1314-1326 (2016) - [j8]Jinqiang Cui, Swee King Phang, Kevin Z. Y. Ang, Fei Wang, Xiangxu Dong, Yijie Ke, Shupeng Lai, Kun Li, Xiang Li, Jing Lin, Peidong Liu, Tao Pang, Kangli Wang, Zhaolin Yang, Feng Lin, Ben M. Chen:
Search and Rescue Using Multiple Drones in Post-Disaster Situation. Unmanned Syst. 4(1): 83-96 (2016) - [c4]Yaguo Lei, Hongkai Shan, Feng Jia, Jing Lin:
Reconstruction independent component analysis-based methods for intelligent fault diagnosis. CSCWD 2016: 245-250 - [c3]Feng Jia, Yaguo Lei, Saibo Xing, Jing Lin:
A method of automatic feature extraction from massive vibration signals of machines. I2MTC 2016: 1-6 - [c2]Liang Zeng, Jing Lin, Fei Gao, Zhi Luo:
The effects of frequency-dependent amplitude characteristic on testing resolution of ultrasonic guided waves. IECON 2016: 463-468 - 2015
- [j7]Feng Jia, Yaguo Lei, Hongkai Shan, Jing Lin:
Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution. Sensors 15(11): 29363-29377 (2015) - [j6]Naipeng Li, Yaguo Lei, Jing Lin, Steven X. Ding:
An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings. IEEE Trans. Ind. Electron. 62(12): 7762-7773 (2015) - [c1]Jinqiang Cui, Swee King Phang, Kevin Z. Y. Ang, Fei Wang, Xiangxu Dong, Yijie Ke, Shupeng Lai, Kun Li, Xiang Li, Feng Lin, Jing Lin, Peidong Liu, Tao Pang, Biao Wang, Kangli Wang, Zhaolin Yang, Ben M. Chen:
Drones for cooperative search and rescue in post-disaster situation. RAM/CIS 2015: RAM:167-174 - 2014
- [j5]Ming Zhao, Jing Lin, Xiaoqiang Xu, Xuejun Li:
Multi-Fault Detection of Rolling Element Bearings under Harsh Working Condition Using IMF-Based Adaptive Envelope Order Analysis. Sensors 14(11): 20320-20346 (2014) - 2013
- [j4]Ming Zhao, Jing Lin, Xiaoqiang Xu, Yaguo Lei:
Tacholess Envelope Order Analysis and Its Application to Fault Detection of Rolling Element Bearings with Varying Speeds. Sensors 13(8): 10856-10875 (2013) - [j3]Yaguo Lei, Naipeng Li, Jing Lin, Sizhe Wang:
Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition. Sensors 13(12): 16950-16964 (2013) - 2012
- [j2]Hang Xie, Jing Lin, Yaguo Lei, Yuhe Liao:
Fast-varying AM-FM components extraction based on an adaptive STFT. Digit. Signal Process. 22(4): 664-670 (2012) - [j1]Yaguo Lei, Jing Lin, Zhengjia He, Detong Kong:
A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes. Sensors 12(2): 2005-2017 (2012)
Coauthor Index
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last updated on 2024-11-19 20:49 CET by the dblp team
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