Literature DB >> 31587810

Incipient winding fault detection and diagnosis for squirrel-cage induction motors equipped on CRH trains.

Yunkai Wu1, Bin Jiang2, Yulong Wang3.   

Abstract

Stator/rotor winding faults are the common faults in squirrel-cage induction motor systems, which motivates the study of incipient fault detection and isolation (IFDI) to improve the safety and reliability of CRH (China Railway High-speed) trains. In this paper, a dynamic model for squirrel caged induction motor in d-q coordinate system is established firstly, further, the models and characteristics of incipient broken-rotor-bar fault and turn-to-turn short fault are analyzed. After that, a novel robust diagnosis design is proposed for the possible incipient stator/rotor winding faults. Experimental analyses show that the detection and isolation scheme designed in this paper provides high sensitivity and accurate isolation to incipient winding faults.
Copyright © 2019 ISA. Published by Elsevier Ltd. All rights reserved.

Keywords:  CRH trains; Incipient stator/rotor winding fault; Robust fault diagnosis

Year:  2019        PMID: 31587810     DOI: 10.1016/j.isatra.2019.09.020

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  9 in total

1.  Weak Fault Feature Extraction of Rolling Bearings Based on Adaptive Variational Modal Decomposition and Multiscale Fuzzy Entropy.

Authors:  Zhongliang Lv; Senping Han; Linhao Peng; Lin Yang; Yujiang Cao
Journal:  Sensors (Basel)       Date:  2022-06-14       Impact factor: 3.847

2.  A Vibration Fault Identification Framework for Shafting Systems of Hydropower Units: Nonlinear Modeling, Signal Processing, and Holographic Identification.

Authors:  Yousong Shi; Jianzhong Zhou; Jie Huang; Yanhe Xu; Baonan Liu
Journal:  Sensors (Basel)       Date:  2022-06-03       Impact factor: 3.847

3.  FPGA Implementation of AI-Based Inverter IGBT Open Circuit Fault Diagnosis of Induction Motor Drives.

Authors:  Nagalingam Rajeswaran; Rajesh Thangaraj; Lucian Mihet-Popa; Kesava Vamsi Krishna Vajjala; Özen Özer
Journal:  Micromachines (Basel)       Date:  2022-04-23       Impact factor: 3.523

4.  LPV Control and Virtual-Sensor-Based Fault Tolerant Strategies for a Three-Axis Gimbal System.

Authors:  Ariel Medero; Vicenç Puig
Journal:  Sensors (Basel)       Date:  2022-09-03       Impact factor: 3.847

5.  Ball Bearing Fault Diagnosis Using Recurrence Analysis.

Authors:  Krzysztof Kecik; Arkadiusz Smagala; Kateryna Lyubitska
Journal:  Materials (Basel)       Date:  2022-08-27       Impact factor: 3.748

6.  Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification.

Authors:  Md Shofiqul Islam; Sunjida Sultana; Fahmid Al Farid; Md Nahidul Islam; Mamunur Rashid; Bifta Sama Bari; Noramiza Hashim; Mohd Nizam Husen
Journal:  Sensors (Basel)       Date:  2022-08-14       Impact factor: 3.847

7.  An Attention EfficientNet-Based Strategy for Bearing Fault Diagnosis under Strong Noise.

Authors:  Bingbing Hu; Jiahui Tang; Jimei Wu; Jiajuan Qing
Journal:  Sensors (Basel)       Date:  2022-08-31       Impact factor: 3.847

8.  GAN-FDSR: GAN-Based Fault Detection and System Reconfiguration Method.

Authors:  Zihan Shen; Xiubin Zhao; Chunlei Pang; Liang Zhang
Journal:  Sensors (Basel)       Date:  2022-07-15       Impact factor: 3.847

Review 9.  Fault Handling in Industry 4.0: Definition, Process and Applications.

Authors:  Heiko Webert; Tamara Döß; Lukas Kaupp; Stephan Simons
Journal:  Sensors (Basel)       Date:  2022-03-12       Impact factor: 3.576

  9 in total

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