液压与气动2024，Vol.48Issue(6)：33-43,11.DOI:10.11832/j.issn.1000-4858.2024.06.005
基于GoogLeNet的多级液压缸故障诊断方法
Fault Diagnosis Method of Hydraulic Telescopic Cylinder Based on GoogLeNet
摘要
Abstract
Aiming at the problem that the fault modes of hydraulic telescopic cylinder are complicated and it is difficult to realize accurate diagnosis,a fault diagnosis method is proposed based on GoogLeNet neural network for hydraulic telescopic cylinder.The working principle of hydraulic telescopic cylinder during the stretching process is taken as starting point to establish its dynamic model.Then,a simulation model containing multiple fault modes is constructed by which fault signals are obtained in different states.On this basis,some key fault features of hydraulic telescopic cylinder are extracted,and the GoogLeNet neural network is applied to establish a fault diagnosis model to realize fault diagnosis and fault localization.The simulation and experimental results show that the simulation model of hydraulic telescopic cylinder is compatible with the actual situation.In addition,the proposed fault diagnosis method is effective in accurately identifying different fault modes of hydraulic telescopic cylinder,thus providing an important guidance for the maintenance and repair.关键词
多级液压缸/升降系统/GoogLeNet/故障诊断Key words
hydraulic telescopic cylinder/lifting system/GoogLeNet/fault diagnosis分类
机械制造引用本文复制引用
曹秋涵,赵俊鹏,石健,薛子良,吴鹏辉,曹向荣..基于GoogLeNet的多级液压缸故障诊断方法[J].液压与气动,2024,48(6):33-43,11.基金项目
国家自然科学基金青年科学基金(52202456) （52202456）
