Fault Diagnosis of Train Body Sign Abnormal Pattern with Deep Learning Based Target Detection

被引：0
作者：
Hu, Yuanjiang [1 ]
Yang, Aisen [1 ]
Zhang, Zonghong [1 ]
Qin, Na [1 ]
机构：
[1] The Institute of Systems Science and Technology, Southwest Jiaotong University, Chengdu,611756, China
来源：
Journal of Computers (Taiwan) | 2023年 / 34卷 / 03期
关键词：
Compendex;
D O I：
10.53106/199115992023063403009
中图分类号：
学科分类号：
摘要：
Failure analysis
引用
收藏
页码：121 / 136
相关论文
共 39 条
  • [31] Detection and Classification of Surface Cracks Using Deep Learning Based Autoencoders in Eddy Current Testing
    Fatima, Barrarat
    Bachir, Helifa
    Samir, Bensaid
    Karim, Rayane
    IbnKhaldoun, Lefkaier
    IEEJ Transactions on Electrical and Electronic Engineering, 2024,
  • [32] Diagnosis method for sub-module open-circuit fault in modular multilevel converter based on unsupervised learning
    Zhang, Bide
    Hong, Xiwen
    Liu, Jun
    Jiang, Zheng
    Liu, Kai
    Yu, Haining
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (12): : 98 - 105
  • [33] Fault States Diagnosis of Marine Diesel Engine Valve Based on a Modified VGG16 Transfer Learning Method
    Cai, Yijie
    Xu, Zhe
    Wen, Quan
    Shi, Jinni
    Zhong, Fei
    Yang, Xiaojun
    Yang, Jianguo
    Zhou, Hongdi
    Mathematical Problems in Engineering, 2023, 2023
  • [34] A study on wind turbine intelligent diagnosis based on HVD wavelet packet de noising coding deep learning
    Shi, Peiming
    Fan, Yafei
    Yi, Siying
    Han, Dongying
    Zhendong yu Chongji/Journal of Vibration and Shock, 2022, 41 (12): : 196 - 201
  • [35] Deep learning-based weak micro-defect detection on an optical lens surface with micro vision
    Yang, Wennuo
    Chen, Meiyun
    Wu, Heng
    Lin, Zhengyang
    Kong, Deqing
    Xie, Shengli
    Takamasu, Kiyoshi
    OPTICS EXPRESS, 2023, 31 (04) : 5593 - 5608
  • [36] Unsupervised outlier detection using neural network-based mixtures of probabilistic principal component analyzers for building chiller fault diagnosis
    Tra, Viet
    Amayri, Manar
    Bouguila, Nizar
    Building and Environment, 2022, 225
  • [37] RETRACTED: A Method for Detection of Rare Industrial Fake Film Based on Deep Learning (Retracted article. See vol. 2022, 2022)
    Gao, Wuqi
    Li, Chao
    Yang, Ting
    Li, Liangliang
    Li, Xiaoyan
    SECURITY AND COMMUNICATION NETWORKS, 2022, 2022
  • [38] A Weakly-Supervised Change Detection Technique for SAR Images Based on Deep Learning and Synthetic Training Data Generated by an Ensemble of Self-Organizing Maps
    Polytechnic University of Bucharest, Department of Applied Electronics and Information Engineering, Bucharest
    RO-060042, Romania
    不详
    I-38123, Italy
    Dig Int Geosci Remote Sens Symp (IGARSS), 2019, (1669-1672):
  • [39] Retracted Article: Based on deep learning in traffic remote sensing image processing to recognize target vehicle(International Journal of Computers and Applications, (2020), 45, (11), (1-7))
    Wang, Dan
    Zhao, Kai
    Wang, Yi
    International Journal of Computers and Applications, 2023, 45 (02): : 180 - 186
1234