Fault diagnosis of rotating machinery based on dimensionless index and two-sample distribution test

被引：0
|
作者：
Su, Nai-Quan [1 ,2 ]
Li, Xiao [2 ]
Zhang, Qing-Hua [1 ]
Huang, Chong-Lin [3 ]
机构：
[1] Guangdong Provincial Key Lab. of Petrochemical Equipment and Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming,525000, China
[2] School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou,510006, China
[3] School of Electromechanical Engineering, Guangdong University of Petrochemical Technology, Maoming,525000, China
来源：
Journal of Computers (Taiwan) | 2020年 / 31卷 / 03期
关键词：
28;
D O I：
10.3966/199115992020063103001
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
页码：1 / 10
相关论文
共 50 条
  • [31] 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
  • [32] 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
  • [33] 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
  • [34] 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
  • [35] Fault diagnosis of rotating machinery based on SVD, FCM and RST
    Ru-qiang Li
    Jin Chen
    Xing Wu
    Alfayo A. Alugongo
    The International Journal of Advanced Manufacturing Technology, 2005, 27 : 128 - 135
  • [36] Fault diagnosis of rotating machinery based on vector ambiguity function
    Shandong University, Jinan 250061, China
    不详
    Zhongguo Jixie Gongcheng, 2006, SUPPL. 2 (74-77):
  • [37] Fault diagnosis of rotating machinery based on SVD, FCM and RST
    Li, RQ
    Chen, J
    Wu, X
    Alugongo, AA
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2005, 27 (1-2): : 128 - 135
  • [38] Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors
    Zhang, Qing-Hua
    Hu, Qin
    Sun, Guoxi
    Si, Xiaosheng
    Qin, Aisong
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2013,
  • [39] 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
  • [40] 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
12345