流体机械2024，Vol.52Issue(4)：95-104,10.DOI:10.3969/j.issn.1005-0329.2024.04.014
基于泵送频率的往复泵活塞故障诊断方法
Fault diagnosis method based on pump stroke frequency for reciprocating pump piston
摘要
Abstract
Online fault monitoring is critical to ensure the high-quality operation of reciprocating drilling pumps.Firstly,an experiment was designed to explore the components of the vibration signals of the drilling pump by examining the easily worn parts of the hydraulic end of the BW-250 drilling pump.Then,the correlation between the amplitude of the pump delivery frequency and piston leakage faults was revealed by analyzing frequency components.Based on this mechanism,a method for detecting piston faults in drilling pumps using the pump delivery frequency amplitude as a diagnostic indicator was proposed.Furthermore,by integrating Maximum Correlated Kurtosis Deconvolution filtering and envelope spectrum analysis methods,the piston leakage fault was diagnosed from the perspective of energy changes at the pump delivery frequency.Finally,the method was validated using the data collected at laboratory and drilling field,and the diagnostic results were compared with other vibration indicators.The results show that the accuracy of this method for diagnosing piston faults in reciprocating pumps is 91.1%,an increase of 3.6%compared to the RMS index diagnostic accuracy and an increase of over 9%compared to impulse,margin and kurtosis index diagnostic accuracy.The method achieved good results,which provides a solution for fault diagnosis of reciprocating mechanical piston components.关键词
往复泵/振动分析/最大相关峭度解卷积/活塞故障诊断/泵送频率Key words
reciprocating pump/vibration analysis/maximum correlated kurtosis deconvolution/piston fault diagnosis/pump stroke frequency分类
机械制造引用本文复制引用
李喆仁,刘志亮,莫巍,王文权,徐友红,王皓,万夫..基于泵送频率的往复泵活塞故障诊断方法[J].流体机械,2024,52(4):95-104,10.基金项目
国家自然科学基金项目(61833002) （61833002）
四川省重点研发计划项目(2023YFG0351) （2023YFG0351）
