在简单介绍非平稳时序模型周期趋势项提取方法的基础上,提出了机械故障诊断和分析方法,该方法利用旋转机械出现故障以后所呈现的循环平稳特性,使用循环平稳分析方法剔除非平稳时间序列模型中的趋势项,然后建立平稳时序模型,用该模型进行机械故障诊断分析。并运用仿真和实例对方法的正确性进行了验证。
An approach of machinery fault diagnosis and analysis method was presented on the basis of the introduction of periodical trend extraction from non - stationary time - series model. The approach extracts the periodical trend from non - stationary time - series with cyclostationary analysis, then sets up stationary time - series model to monitor machinery faults. The simulation and an example were given to show the approach availability.