Rotating machinery fault diagnosis based on multiple fault manifolds

被引：0
|
作者：
Su, Zu-Qiang [1 ]
Tang, Bao-Ping [1 ]
Zhao, Ming-Hang [1 ]
Qin, Yi [1 ]
机构：
[1] The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing,400030, China
来源：
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | 2015年 / 28卷 / 02期
关键词：
D O I：
10.16385/j.cnki.issn.1004-4523.2015.02.018
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：309 / 315
相关论文
共 50 条
  • [11] Thermal image based fault diagnosis for rotating machinery
    Janssens, Olivier
    Schulz, Raiko
    Slavkovikj, Viktor
    Stockman, Kurt
    Loccufier, Mia
    Van de Walle, Rik
    Van Hoecke, Sofie
    INFRARED PHYSICS & TECHNOLOGY, 2015, 73 : 78 - 87
  • [12] Fault diagnosis of rotating machinery based on DVMD denoising
    Yin X.-L.
    Mu Z.-L.
    Wang Y.-Q.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2022, 39 (07): : 1324 - 1334
  • [13] Fault detection and diagnosis in rotating machinery
    Loparo, KA
    Afshari, N
    Abdel-Magied, M
    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, 1998, : 2986 - 2991
  • [14] Fault detection and diagnosis of rotating machinery
    Loparo, KA
    Adams, ML
    Lin, W
    Abdel-Magied, MF
    Afshari, N
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2000, 47 (05) : 1005 - 1014
  • [15] The Study of Fault Diagnosis in Rotating Machinery
    Othman, Nor Azlan
    Damanhuri, Nor Salwa
    Kadirkamanathan, Visakan
    CSPA: 2009 5TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, 2009, : 69 - 74
  • [16] RESEARCH ON FAULT DIAGNOSIS SYSTEM OF ROTATING MACHINERY BASED ON MACHINERY CONFIGURATION
    Chen Ping
    Xie Zhijiang
    JOURNAL OF ADVANCED MANUFACTURING SYSTEMS, 2008, 7 (01) : 41 - 44
  • [17] Knowledge Modeling of Fault Diagnosis for Rotating Machinery Based on Ontology
    Chen, Rong
    Zhou, Zude
    Liu, Quan
    Duc Truong Pham
    Zhao, Yuanyuan
    Yan, Junwei
    Wei, Qin
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2015, : 1050 - 1055
  • [18] Scattering transform and LSPTSVM based fault diagnosis of rotating machinery
    Ma, Shangjun
    Cheng, Bo
    Shang, Zhaowei
    Liu, Geng
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 104 : 155 - 170
  • [19] Application of Rotating Machinery Fault Diagnosis Based on Deep Learning
    Cui, Wei
    Meng, Guoying
    Wang, Aiming
    Zhang, Xinge
    Ding, Jun
    SHOCK AND VIBRATION, 2021, 2021
  • [20] Feature Denoising-based Fault Diagnosis for Rotating machinery
    Hq, Qin
    Si, Xiao-Sheng
    Lv, Yun-Rong
    2020 35TH YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2020, : 284 - 287
12345