基于局域波相空间往复机械故障诊断方法的应用研究  

Research on Fault Diangosis of Reciprocating Machinery Based on Local - Wave Phase Space

作　　者：王珍[1] 马孝江[1] 

机构地区：[1]大连大学机械系振动工程研究所,大连116622

出　　处：《机床与液压》2003年第2期237-239,48,共4页Machine Tool & Hydraulics

摘　　要：利用一种新的非平稳信号分析方法,对实测数据进行分解,并由分解后的各内蕴模式分量构造动力系统相空间,提取系统状态特性,实现往复机械的故障诊断。此方法克服了G-P算法中重构相空间参数选择的困难,并对噪声信号起到了一定的抑制作用。仿真信号和对柴油机故障状态的诊断结果表明,该方法是实用和有效的,具有良好的应用前景。Using a new method fitting to analyze non - stationary signal, The data tested on surface of reciprocating machinery was decomposed to number of intrinsic mode weights.These weights reconstructed the phase space of tested system for calculating correlation dimension, and faults were diagnosed according to correlation dimensions. The simulation proved that the conclusion from this method accord with from the 0 - P algorithm .'Ihe experimental results confirmed the validity and practicability of this method presented in the paper.

关 键 词：往复机械 故障诊断 局域波相空间 关联维数 

分 类 号：TH17[机械工程—机械制造及自动化]