English | 繁體

Search in the results

UM

Browse/Search Results:  1-6 of 6 Help

Selected(0)Clear Items/Page:    Sort:
Back Propagation Neural Network-Based Fault Diagnosis and Fault Tolerant Control of Distributed Drive Electric Vehicles Based on Sliding Mode Control-Based Direct Yaw Moment Control Journal article
Sun, Tianang, Wong, Pak Kin, Wang, Xiaozheng. Back Propagation Neural Network-Based Fault Diagnosis and Fault Tolerant Control of Distributed Drive Electric Vehicles Based on Sliding Mode Control-Based Direct Yaw Moment Control[J]. Vehicles, 2024, 6(1), 93-119.
Authors:  Sun, Tianang;  Wong, Pak Kin;  Wang, Xiaozheng
Favorite | TC[WOS]:0 TC[Scopus]:2 | Submit date：2024/05/16
Direct Yaw Moment Control  Motor Fault Diagnosis  Neural Network  Sliding Mode Control  Vehicle Fault Tolerance  
Fast In-Loop Single-Tube Open-Circuit Fault Diagnosis for Voltage Source Inverter Based on Duality of Current-Time Pairs Journal article
Song, Chonghui, Zhao, Xiaolong, Sun, Xianrui, Diao, Naizhe, Zhao, Jing. Fast In-Loop Single-Tube Open-Circuit Fault Diagnosis for Voltage Source Inverter Based on Duality of Current-Time Pairs[J]. IEEE Transactions on Industrial Electronics, 2023, 70(9), 9572 - 9581.
Authors:  Song, Chonghui;  Zhao, Xiaolong;  Sun, Xianrui;  Diao, Naizhe;  Zhao, Jing
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:7.5/8.0 | Submit date：2023/01/30
Current-time Pairs  Dual-difference  Neural-network-liked Structure  Open-circuit (Oc) Fault Diagnosis  Traction Motor Drive System  
Fault Diagnosis of Induction Motors Under Untrained Loads With a Feature Adaptation and Improved Broad Learning Framework Journal article
Wong, Pak Kin, Jiang, Sai Biao. Fault Diagnosis of Induction Motors Under Untrained Loads With a Feature Adaptation and Improved Broad Learning Framework[J]. IEEE/ASME Transactions on Mechatronics, 2021, 27(5), 3041-3052.
Authors:  Wong, Pak Kin;  Jiang, Sai Biao
Favorite | TC[WOS]:10 TC[Scopus]:9  IF:6.1/6.2 | Submit date：2022/05/13
Acoustics  Adaptive Feature Extraction  Broad Learning  Fault Diagnosis  Fault Diagnosis  Feature Extraction  Induction Motor  Induction Motors  Load Modeling  Training  Untrained Loads  Windings  
Automatic representation and detection of fault bearings in in-wheel motors under variable load conditions Journal article
Wang, Xian-Bo, Luo, Luqing, Tang, Lulu, Yang, Zhi-Xin. Automatic representation and detection of fault bearings in in-wheel motors under variable load conditions[J]. ADVANCED ENGINEERING INFORMATICS, 2021, 49, 101321.
Authors:  Wang, Xian-Bo;  Luo, Luqing;  Tang, Lulu;  Yang, Zhi-Xin
Favorite | TC[WOS]:32 TC[Scopus]:44  IF:8.0/8.2 | Submit date：2021/12/08
Convolutional Neural Network  Fault Diagnosis  In-wheel Motor  Synchronous Resampling  Time–frequency Representation  
A Fault Diagnostic Method for Induction Motors Based on Feature Incremental Broad Learning and Singular Value Decomposition Journal article
Jiang,Sai Biao, Wong, Pak Kin, Liang,Yan Chun. A Fault Diagnostic Method for Induction Motors Based on Feature Incremental Broad Learning and Singular Value Decomposition[J]. IEEE Access, 2019, 7, 157796-157806.
Authors:  Jiang,Sai Biao;  Wong, Pak Kin;  Liang,Yan Chun
Favorite | TC[WOS]:23 TC[Scopus]:25  IF:3.4/3.7 | Submit date：2021/03/09
Fault Diagnosis  Feature Extraction  Incremental Broad Learning  Induction Motor  Singular Value Decomposition  
An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization Journal article
Jiang, Sai Biao, Wong, Pak Kin, Guan, Ren Chu, Liang Yan Chun, Li Jia. An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization[J]. IEEE Access, 2019, 7, 17780-17790.
Authors:  Jiang, Sai Biao;  Wong, Pak Kin;  Guan, Ren Chu;  Liang Yan Chun;  Li Jia
Favorite | TC[WOS]:39 TC[Scopus]:45 | Submit date：2019/03/26
Fault Diagnosis  Feature Extraction  Incremental Board Learning  Non-negative Matrix Factorization  Three-phase Induction Motor