Centrifugal Pumps Fault Diagnosis Using Multivariate Multiscale Symbolic Dynamic Entropy and Logistic Regression

Yongbo Li, Xianzhi Wang, Shubin Si

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

The fault diagnosis of centrifugal pumps is crucial to ensure its safety operation and reduce the maintenance costs. In this paper, a novel framework is established for fault diagnosis of centrifugal pumps. First, the multivariate multiscale symbolic dynamic entropy (MvMSDE) is proposed to extract the fault features from the measured synchronous multi-channel vibration signals. Then, the fault features are taken as the input of logistic regression (LR) to classify different fault types of a centrifugal pump. The effectiveness of the proposed method is validated using the experimental data. Meanwhile, a comparison is conducted between MSDE and MvMSDE. Results show that the proposed method has better performance to recognize different bearing and impeller faults of centrifugal pumps.

源语言英语
主期刊名Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018
编辑Ping Ding, Chuan Li, Shuai Yang, Ping Ding, Rene-Vinicio Sanchez
出版商Institute of Electrical and Electronics Engineers Inc.
422-426
页数5
ISBN(电子版)9781538653791
DOI
出版状态已出版 - 4 1月 2019
活动2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018 - Chongqing, 中国
期限: 26 10月 201828 10月 2018

出版系列

姓名Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018

会议

会议2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018
国家/地区中国
Chongqing
时期26/10/1828/10/18

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