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Xiaohang Jin(金晓航), Ph.D.
Xiaohang Jin(金晓航), Ph.D.
College of Mechanical Engineering, Zhejiang University of Technology
Подтвержден адрес электронной почты в домене ieee.org
Название
Процитировано
Процитировано
Год
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
4472014
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
3502016
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
2482016
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
1632020
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
992012
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
972014
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
972013
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
952021
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
822019
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
802015
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
742022
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
582018
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
542016
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
452015
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
352016
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
342018
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
312014
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
302017
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
262011
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
232023
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