液压与气动2024，Vol.48Issue(7)：135-142,8.DOI:10.11832/j.issn.1000-4858.2024.07.016
基于子领域自适应的液压系统故障诊断方法
Fault Diagnosis Method of Hydraulic System Based on Subdomain Adaptation
摘要
Abstract
Addressing the challenge of difficult data collection and limited datasets for hydraulic system faults,leading to lower accuracy in fault diagnosis models,a fault diagnosis method based on subdomain adaptation is proposed.Using a hydraulic system simulation model,various fault types to generate rich simulation data.Combining this simulated data with limited real-world fault data for model construction,we integrate a 1D-CNN with subdomain adaptation.This approach,employing a 1 D-CNN network and a multi-sensor information fusion strategy,comprehensively extracts fault information from different domains of hydraulic systems.In the domain adaptation layer,LMMD is utilized to reduce global and subdomain distribution differences between source and target domains.The research results demonstrate that our proposed method achieves a 100％diagnostic accuracy for each fault type with only one real-world sample per fault type,outperforming compared other intelligent fault diagnosis methods.关键词
液压系统/故障诊断/仿真数据驱动/子领域自适应Key words
hydraulic system/fault diagnosis/simulation data-driven/subdomain adaptation分类
机械制造引用本文复制引用
张开庆,李斌,王立新,李广珍,郝惠敏,黄家海..基于子领域自适应的液压系统故障诊断方法[J].液压与气动,2024,48(7):135-142,8.基金项目
山西省基础研究计划联合资助项目(太重)(TZLH20230818010) （太重）
