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A Modified PSO-BP Algorithm in Hydraulic System Fault Diagnosis Application
Author(s): 
Pages: 13-14,18
Year: Issue:  11
Journal: Hydraulics Pneumatics & Seals

Keyword:  粒子群算法BP神经网络液压系统故障诊断;
Abstract: 液压系统故障诊断中采用BP神经网络进行故障的模式识别,存在着收敛率较低的问题.结合粒子群算法和BP算法各自的优势,提出了一种基于改进的PSO-BP液压系统故障诊断方法.对标准粒子群算法的惯性权重和学习因子进行改进,再对BP神经网络的权值和阈值进行优化,达到改善BP网络性能的目标.仿真结果表明该方法提高了BP网络的收敛率,减小了诊断误差.
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