大型复杂机械早期故障特征提取技术研究  

Research on the Technology of Extracting the Early Fault Features of Large-complex Mechanical Equipment

作　　者：罗忠辉[1] 吴百海[2] 

机构地区：[1]湛江海洋大学,广东湛江524022 [2]广东工业大学,广东广州510090

出　　处：《机电工程技术》2004年第1期31-32,37,共3页Mechanical & Electrical Engineering Technology

摘　　要：本文基于小波分析的时频特性及其多分辨分析理论,探讨了小波分析在提取大型复杂机械早期故障特征中的应用,并用计算机仿真了小波分析在强噪声背景下检测微弱瞬时信号的优越性能。Based on the characteristic of wavelet Time-frequency and theory of its muti-analysis, this paper discusses the application of extracting the fault features of mechanical equipment by using wavelet analysis, and also simulates its superior characteristics of detecting weak transient signal in a noisy environment.

关 键 词：小波分析 时频分析 瞬时信号 计算机仿真 机械 

分 类 号：TH17[机械工程—机械制造及自动化]