液压与气动2026，Vol.50Issue(3)：40-51,12.DOI:10.11832/j.issn.1000－4858.2026.03.005
融合油箱特征的航空液压系统渗漏故障诊断模型
Leakage Fault Diagnosis Model of Aviation Hydraulic System Based on Fuel Tank Feature Fusion
摘要
Abstract
In view of the shortcomings of the research on leakage fault detection of civil aviation hydraulic system,we focuse on the monitoring parameters of fuel tank oil volume which are often neglected in the existing leakage analysis of hydraulic pipeline.An improved particle swarm optimization method for hydraulic system diagnosis is proposed.Firstly,a signal processing step is proposed,and a new physical information feature weighting layer is developed to enhance the sensitivity of the model to fault-related features.Secondly,aiming at the problem of complex calculation and slow convergence of traditional particle swarm optimization algorithm,we introduce the linear decreasing inertia weight,Latin hypercube initialization and local restart strategy to improve performance.Finally,the effectiveness of the proposed method is verified by experimental investigation.The research shows that the proposed method has higher robustness and accuracy than many classical fault diagnosis methods,and it does provide an effective method for detecting leakage fault diagnosis of aviation hydraulic systems.关键词
液压系统/油液渗漏/故障诊断/粒子群优化支持向量机算法Key words
hydraulic system/oil leakage/fault diagnosis/particle swarm optimization-based support vector machine algorithm分类
机械制造引用本文复制引用
唐杰,高文慧,鲁鑫..融合油箱特征的航空液压系统渗漏故障诊断模型[J].液压与气动,2026,50(3):40-51,12.基金项目
国家自然科学基金民航联合基金(U2233212) （U2233212）
中央高校基本科研业务费(3122019091) （3122019091）
