天然气与石油2024，Vol.42Issue(2)：103-108,6.DOI:10.3969/j.issn.1006-5539.2024.02.015
基于声音信号的离心泵轴承故障预警研究
Research on early warning of centrifugal pump bearing faults based on acoustic signals
摘要
Abstract
To monitor the operational state of centrifugal pump,this study involves the collection and experimental analysis of these signals,analyzing them in both time and frequency domains to extract early warning indicators of bearing faults in the time-frequency domain.The Variational Mode Decomposition method is used to select the appropriate intrinsic mode function for envelope demodulation.This process facilitates the analysis of bearing fault feature information via envelope spectrum,from which early warning indicators for bearing faults are extracted.By extracting characteristic parameters of both normal and faulty bearing operations,this study establishes early warning indicators for centrifugal pump bearing failures.This is crucial for timely maintenance interventions,significantly enhancing the lifespan of centrifugal pumps and preventing industrial operation downtimes due to sudden bearing failures.The study results provide significant reference for the early warning of centrifugal pump bearing faults.关键词
离心泵/声音信号/时频域分析/变分模态分解/预警特征Key words
Centrifugal pump/Acoustic signal/Time frequency domain analysis/Variational Mode Decomposition/Early warning indicators引用本文复制引用
杨俊,穆伯锋,张敏,詹蕊菱,马谧,郑通明,梁陶,孙德彬,彭松..基于声音信号的离心泵轴承故障预警研究[J].天然气与石油,2024,42(2):103-108,6.基金项目
中国石油西南油气田公司川西北气矿科研项目"生产负荷衰减下净化装置适应性技术研究"(2023-14) （2023-14）
