Rotating machine fault feature extraction based on reduced time frequency representation

被引：0
|
作者：
Zhang, Yan [1 ]
Tang, Bao-Ping [1 ,2 ]
Liu, Zi-Ran [2 ]
Chen, Ren-Xiang [1 ]
机构：
[1] The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing,400030, China
[2] School of Mechanical & Electrical Engineering, Henan University of Technology, Zhengzhou,450007, China
来源：
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | 2015年 / 28卷 / 01期
关键词：
D O I：
10.16385/j.cnki.issn.1004-4523.2015.01.020
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：156 / 163
相关论文
共 50 条
  • [1] Fault diagnosis of rotating machinery based on time-frequency image feature extraction
    Zhang, Shiyi
    Zhang, Laigang
    Zhao, Teng
    Mahmoud Mohamed Selim
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (04) : 5193 - 5200
  • [2] Fault Diagnosis for Rotating Machine Utilizing Machine Learning with FFT-based Feature Extraction
    Nhi Hoang Tu Nguyen
    Phuc Nhu Hong Nguyen
    Tuan Minh Le
    Quang Nhat Truong
    Long Ton That
    Son Vu Truong Dao
    2024 IEEE TENTH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND ELECTRONICS, ICCE 2024, 2024, : 619 - 624
  • [3] Sparse representation learning for fault feature extraction and diagnosis of rotating machinery
    Ma, Sai
    Han, Qinkai
    Chu, Fulei
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 232
  • [4] Sparse representation based on local time-frequency template matching for bearing transient fault feature extraction
    He, Qingbo
    Ding, Xiaoxi
    JOURNAL OF SOUND AND VIBRATION, 2016, 370 : 424 - 443
  • [5] Sparse feature extraction based on periodical convolutional sparse representation for fault detection of rotating machinery
    Ding, Chuancang
    Zhao, Ming
    Lin, Jing
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 32 (01)
  • [6] Feature Extraction and Analysis using Time-Frequency Transformation of Vibration Signal for Rotating Machine
    Liu Hua
    Qin Aili
    Zhao Wei
    PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOL. 3, 2008, : 1252 - 1255
  • [7] Fault feature extraction using group sparse representation in frequency domain
    Wang H.-Q.
    Liu Z.-Y.
    Lu W.
    Song L.-Y.
    Han C.-K.
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2022, 35 (05): : 1242 - 1249
  • [8] Classification of present faults in rotating machinery based on time and frequency domain feature extraction
    Ignjatovska, Anastasija
    Shishkovski, Dejan
    Pecioski, Damjan
    Vibroengineering Procedia, 2023, 51 : 22 - 28
  • [9] Time-frequency audio feature extraction based on tensor representation of sparse coding
    Zhang, Xue-Yuan
    He, Qian-Hua
    ELECTRONICS LETTERS, 2015, 51 (02) : 131 - U20
  • [10] SPARSE TIME-FREQUENCY REPRESENTATION BASED FEATURE EXTRACTION METHOD FOR LANDMINE DISCRIMINATION
    Wang, Y.
    Song, Q.
    Jin, T.
    Shi, Y.
    Huang, X.
    PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2012, 133 : 459 - 475
12345