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基于格兰杰因果关系的往复泵液阀故障预警方法研究

杜祥瑞 牛明业 伍鹏 马波

现代制造工程Issue(5):7-17,105,12.
现代制造工程Issue(5):7-17,105,12.DOI:10.16731/j.cnki.1671-3133.2026.05.002

基于格兰杰因果关系的往复泵液阀故障预警方法研究

Research on the fault early warning method of reciprocating pump liquid valve based on Granger causality

杜祥瑞 1牛明业 2伍鹏 1马波1

作者信息

  • 1. 北京化工大学,北京 100029
  • 2. 中国核电工程有限公司,北京 100084
  • 折叠

摘要

Abstract

To tackle the challenges of low accuracy and poor real-time performance in early warning of liquid valve faults in recip-rocating pumps,a novel method based on Granger causality analysis was proposed.Initially,vibration signals collected under nor-mal operating conditions were processed in the angle domain for feature extraction,and a feature matrix was constructed accord-ingly.This matrix was partitioned into reference data and training data.Granger causality tests were applied to the reference data to derive a baseline causality matrix.Subsequently,a sliding window with an appropriate size and step was applied to the training data to perform Granger causality analysis,resulting in a series of causality matrices.These matrices were compared with the base-line to calculate differences,and the maximum difference was selected as the fault detection threshold.During real-time monito-ring,a causality matrix was continuously computed and compared against the baseline;if the computed difference exceeds the threshold,an early warning for a potential liquid valve fault was implemented.Finally,comparative experiments were conducted on a reciprocating pump test platform using the proposed method,as well as LSTM,MSET,and DBN models.Experimental results demonstrate that the proposed method improves early warning accuracy by 7.34%,3.67%,and 9.34%compared to LSTM,MSET,and DBN,respectively,while achieving reductions in response time of 18.27 s,2.86 s,10.38 s.

关键词

往复泵液阀/格兰杰因果关系/故障预警/振动信号

Key words

reciprocating pump liquid valve/Granger causality/fault warning/vibration signal

分类

机械制造

引用本文复制引用

杜祥瑞,牛明业,伍鹏,马波..基于格兰杰因果关系的往复泵液阀故障预警方法研究[J].现代制造工程,2026,(5):7-17,105,12.

基金项目

国家自然科学基金项目(62273025) (62273025)

现代制造工程

1671-3133

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