An Application of Renyi Entropy Segmentation In Fault Detection of Rotating Machinery

被引：0
|
作者：
Popescu, Theodor D. [1 ]
Dumitrascu, Bogdan [2 ]
机构：
[1] Natl Inst R&D Informat, 8-10 Averescu Ave, Bucharest 011455, Romania
[2] Dunarea de Jos Univ Galati, Galati 800008, Romania
来源：
2015 16TH INTERNATIONAL CONFERENCE ON RESEARCH AND EDUCATION IN MECHATRONICS (REM) | 2015年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The paper presents a new approach for change detection in vibration signals of a rotating machine using time-frequency information content, making use of the short-term time-frequency Renyi entropy and a segmentation algorithm, based on maximum a posteriori probability (MAP) estimator. The segmentation algorithm operates on Renyi entropy, as a new space of decision. This approach enables more robust change detection in vibrating signals. Finally, we present an application of the proposed approach for a rotating machine, a pump, after the blind source separation (BSS) of the main vibration sources has been performed.
引用
收藏
页码：288 / 295
页数：8
相关论文
共 50 条
  • [21] APPLICATION OF ROBUST REGRESSION METHODS TO FAULT IDENTIFICATION IN ROTATING MACHINERY
    Pennacchi, R.
    Chatterton, S.
    Ricci, R.
    Vania, A.
    8TH IFTOMM INTERNATIONAL CONFERENCE ON ROTOR DYNAMICS (IFTOMM ROTORDYNAMICS 2010), 2010, : 376 - 383
  • [22] 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
  • [23] Automated and Adaptive Ridge Extraction for Rotating Machinery Fault Detection
    Li, Yifan
    Yang, Yaocheng
    Feng, Ke
    Zuo, Ming J. J.
    Chen, Zaigang
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 28 (05) : 2565 - 2575
  • [24] Application of the EEMD method to rotor fault diagnosis of rotating machinery
    Lei, Yaguo
    He, Zhengjia
    Zi, Yanyang
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2009, 23 (04) : 1327 - 1338
  • [25] The application of a correlation dimension in large rotating machinery fault diagnosis
    Wang, W
    Chen, J
    Wu, Z
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2000, 214 (07) : 921 - 930
  • [26] Application of fractal dimension to large rotating machinery fault diagnosis
    Northeastern University, Shenyang 110004, China
    Yingyong Lixue Xuebao, 2007, 2 (302-305):
  • [27] Element analysis and its application in rotating machinery fault diagnosis
    Dai, Hanfang
    Wang, Yanxue
    Wang, Xuan
    Liu, Qi
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2023, 34 (02)
  • [28] On-line Automatic Early Fault Detection of Rotating Machinery
    Wang, Dong
    Miao, Qiang
    2010 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE, 2010, : 104 - 108
  • [29] Early fault diagnosis of rotating machinery based on composite zoom permutation entropy
    Ma, Chenyang
    Li, Yongbo
    Wang, Xianzhi
    Cai, Zhiqiang
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 230
  • [30] Multiscale Diversity Entropy: A Novel Dynamical Measure for Fault Diagnosis of Rotating Machinery
    Wang, Xianzhi
    Si, Shubin
    Li, Yongbo
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (08) : 5419 - 5429
12345