有效地分离和识别旋转机械早期微弱故障特征我要分享

Effective separation and identification of early weak fault characteristics of rotating machinery

振动 旋转故障 故障识别 循环平稳分析 循环平稳分离

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文件大小: 2776KB

代码分类: 信号处理

开发平台: matlab

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代码描述

中文说明:

循环平稳信号是一类特殊的非平稳信号,其统计特征具有随时间呈周期变化的特点。旋转机械由于周期运行方式其振动信号具有循环平稳特性,因此利用循环平稳分析方法能够提取出在平稳假设下所不能得到的隐藏故障特征信息,为有效地分离和识别旋转机械早期微弱故障特征提供可能。


English Description:

Cyclostationary signal is a special kind of non-stationary signal, whose statistical characteristics have the characteristics of periodic change with time. The vibration signal of rotating machinery has cyclostationary characteristics because of its periodic operation mode. Therefore, the hidden fault feature information which can not be obtained under the stationary assumption can be extracted by using the cyclostationary analysis method, which can effectively separate and identify the early weak fault features of rotating machinery.


代码预览

cyclostationary_toolbox\17869305ADA311555.zip

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cyclostationary_toolbox\23825787qpsk.zip

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cyclostationary_toolbox\3330126cyclostationary_toolbox.rar

cyclostationary_toolbox\37724109bpsk.zip

cyclostationary_toolbox\95218311Spectral-Correlation.zip

cyclostationary_toolbox\95448674scf.rar

cyclostationary_toolbox