Feature Extraction and Intelligent Fault Diagnosis of Marine Machinery

被引：0
|
作者：
Jiawei Jiang
Yihuai Hu
Yanzhen Chen
Guohua Yan
机构：
[1] Shanghai Technical Institute of Electronics & Information,Merchant Marine College
[2] Shanghai Maritime University,undefined
[3] Marine Design & Research Institute of China,undefined
来源：
Journal of Vibration Engineering & Technologies | 2024年 / 12卷
关键词：
Fault diagnosis; Feature extraction; Feature selection; Marine machinery;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：201 / 211
页数：10
相关论文
共 50 条
  • [1] Feature Extraction and Intelligent Fault Diagnosis of Marine Machinery
    Jiang, Jiawei
    Hu, Yihuai
    Chen, Yanzhen
    Yan, Guohua
    JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES, 2024, 12 (01) : 201 - 211
  • [2] Intelligent fault diagnosis of rotating machinery based on impact feature extraction
    Hu A.
    Sun J.
    Xing L.
    Xiang L.
    Hangkong Dongli Xuebao/Journal of Aerospace Power, 2023, 38 (12): : 2973 - 2981
  • [3] Categorical Feature GAN for Imbalanced Intelligent Fault Diagnosis of Rotating Machinery
    Dai, Jun
    Wang, Jun
    Yao, Linquan
    Huang, Weiguo
    Zhu, Zhongkui
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [4] Adaptive feature extraction using sparse coding for machinery fault diagnosis
    Liu, Haining
    Liu, Chengliang
    Huang, Yixiang
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2011, 25 (02) : 558 - 574
  • [5] Feature Extraction Based on DWT and CNN for Rotating Machinery Fault Diagnosis
    Xie, Yuan
    Zhang, Tao
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 3861 - 3866
  • [6] Sparse representation learning for fault feature extraction and diagnosis of rotating machinery
    Ma, Sai
    Han, Qinkai
    Chu, Fulei
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 232
  • [7] Binomial adversarial representation learning for machinery fault feature extraction and diagnosis
    Ma, Liang
    Cheng, Yujie
    Ding, Yu
    Zhao, Qin
    Wang, Zili
    Lu, Chen
    Applied Soft Computing, 2022, 131
  • [8] Binomial adversarial representation learning for machinery fault feature extraction and diagnosis
    Ma, Liang
    Cheng, Yujie
    Ding, Yu
    Zhao, Qin
    Wang, Zili
    Lu, Chen
    APPLIED SOFT COMPUTING, 2022, 131
  • [9] Multiple-domain manifold for feature extraction in machinery fault diagnosis
    Gan, Meng
    Wang, Cong
    Zhu, Chang'an
    MEASUREMENT, 2015, 75 : 76 - 91
  • [10] Intelligent fault diagnosis of rotating machinery based on deep learning with feature selection
    Han, Dongying
    Liang, Kai
    Shi, Peiming
    JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL, 2020, 39 (04) : 939 - 953
12345