Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis X Jin, M Zhao, T Chow, M Pecht IEEE Transactions on Industrial Electronics 61 (5), 2441-2451, 2014 | 447 | 2014 |
A two-stage data-driven-based prognostic approach for bearing degradation problem Y Wang, Y Peng, Y Zi, X Jin, KL Tsui IEEE Transactions on industrial informatics 12 (3), 924-932, 2016 | 350 | 2016 |
Anomaly detection and fault prognosis for bearings X Jin, Y Sun, Z Que, Y Wang, TWS Chow IEEE Transactions on Instrumentation and Measurement 65 (9), 2046-2054, 2016 | 248 | 2016 |
Condition monitoring of wind turbine generators using SCADA data analysis X Jin, Z Xu, W Qiao IEEE Transactions on Sustainable Energy 12 (1), 202-210, 2020 | 163 | 2020 |
Health monitoring of cooling fans based on Mahalanobis distance with mRMR feature selection X Jin, EWM Ma, LL Cheng, M Pecht IEEE Transactions on Instrumentation and Measurement 61 (8), 2222-2229, 2012 | 99 | 2012 |
Fault Diagnosis of Rolling Element Bearings via Discriminative Subspace Learning: Visualization and Classification M Zhao, X Jin, Z Zhang, B Li Expert Systems with Applications 41 (7), 3391–3401, 2014 | 97 | 2014 |
Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis–Taguchi system X Jin, TWS Chow Expert Systems with Applications 40 (15), 5787-5795, 2013 | 97 | 2013 |
Remaining useful life prediction for bearings based on a gated recurrent unit Z Que, X Jin, Z Xu IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 95 | 2021 |
A data-driven approach for bearing fault prognostics X Jin, Z Que, Y Sun, Y Guo, W Qiao IEEE Transactions on Industry Applications 55 (4), 3394-3401, 2019 | 82 | 2019 |
Joint label consistent dictionary learning and adaptive label prediction for semisupervised machine fault classification W Jiang, Z Zhang, F Li, L Zhang, M Zhao, X Jin IEEE Transactions on Industrial Informatics 12 (1), 248-256, 2015 | 80 | 2015 |
Spatio-temporal fusion attention: A novel approach for remaining useful life prediction based on graph neural network Z Kong, X Jin, Z Xu, B Zhang IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 74 | 2022 |
Fault detection for rolling-element bearings using multivariate statistical process control methods X Jin, J Fan, TWS Chow IEEE Transactions on Instrumentation and Measurement 68 (9), 3128-3136, 2018 | 58 | 2018 |
Quantitative evaluation of wind turbine faults under variable operational conditions X Jin, W Qiao, Y Peng, F Cheng, L Qu IEEE Transactions on Industry Applications 52 (3), 2061-2069, 2016 | 54 | 2016 |
Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis X Jin, TWS Chow, Y Sun, J Shan, BCP Lau Wireless Networks 21 (3), 829-839, 2015 | 45 | 2015 |
A comparative study on vibration-and current-based approaches for drivetrain gearbox fault diagnosis X Jin, F Cheng, Y Peng, W Qiao, L Qu 2016 IEEE Industry Applications Society Annual Meeting, 1-8, 2016 | 35 | 2016 |
Drivetrain gearbox fault diagnosis: Vibration-and current-based approaches X Jin, F Cheng, Y Peng, W Qiao, L Qu IEEE Industry Applications Magazine 24 (6), 56-66, 2018 | 34 | 2018 |
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification X Jin, F Yuan, TWS Chow, M Zhao Engineering Applications of Artificial Intelligence 30, 118-128, 2014 | 31 | 2014 |
风力发电机组故障诊断与预测技术研究综述 金晓航, 孙毅, 单继宏, 吴根勇 仪器仪表学报 38 (5), 1041-1053, 2017 | 30 | 2017 |
Physics-of-failure analysis of cooling fans X Jin, MH Azarian, C Lau, LL Cheng, M Pecht 2011 Prognostics and System Health Managment Confernece, 1-8, 2011 | 26 | 2011 |
A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction Z Kong, X Jin, Z Xu, Z Chen Reliability Engineering & System Safety 234, 109163, 2023 | 23 | 2023 |