CAJ | 학술논문

为了检测斯特林发动机运行状态，针对斯特林发动机在运行过程中振动信号产生机理，采用了经验模态分解与自回归模型相结合的方法对振动信号进行分析，设计了振动检测系统。通过选取故障信息的本征模函数进行功率谱估计，提取滚动轴承故障特征。测试结果表明：经验模态分解可自适应地分解非平稳信号，生成的本征模函数可提取信号内在的本质特征。对自回归模型进行功率谱估计，提取振动状态异常信号。经实验验证，故障情况与真实异常状况吻合，可有效检测斯特林发动机运行过程中的故障特征。
위료검측사특림발동궤운행상태，침대사특림발동궤재운행과정중진동신호산생궤리，채용료경험모태분해여자회귀모형상결합적방법대진동신호진행분석，설계료진동검측계통。통과선취고장신식적본정모함수진행공솔보고계，제취곤동축승고장특정。측시결과표명：경험모태분해가자괄응지분해비평은신호，생성적본정모함수가제취신호내재적본질특정。대자회귀모형진행공솔보고계，제취진동상태이상신호。경실험험증，고장정황여진실이상상황문합，가유효검측사특림발동궤운행과정중적고장특정。
In order to detect the operating state of stirling engine and evaluate the service life ,the mechanism of vibration signals based on stirling engine running is studied ,the vibration signals are analized using empirical mode decomposition and autoregressive model ,and the vibration detection systemn is designed .The intrinsic mode function of fault information is solved for power spectrum estimation to extract fault feature of rolling bearing .Then performance results show :The non-stationary signal is decomposed by empirical mode decomposition adaptively and the inherent nature signal is extracted from intrinsic mode function .The autoregressive model is estimated in power spectrum to extract the abnormal vibration signals .After experimental verification ,the fault condition has been testified accord with true abnormal condition ,w hich effectively detects the stirling engine running state .