CAJ | 학술논문

利用旋转机械的振动信号的循环平稳特性,采用基于二阶统计量(Second Order Statistic,SOS)的盲均衡技术从多个传感器信号中恢复出"真实的"振动源信号,实现了同类信号的数据级融合.以滚动轴承故障信号的阶次谱结构为先验知识,提出了用于滤波性能评价的两个指标,实现了盲均衡滤波器参数的优化,从而给出了一种可用于滚动轴承故障诊断的半盲信号处理方法.采用某型单级减速齿轮箱的实验数据验证了该方法的有效性.
이용선전궤계적진동신호적순배평은특성,채용기우이계통계량(Second Order Statistic,SOS)적맹균형기술종다개전감기신호중회복출"진실적"진동원신호,실현료동류신호적수거급융합.이곤동축승고장신호적계차보결구위선험지식,제출료용우려파성능평개적량개지표,실현료맹균형려파기삼수적우화,종이급출료일충가용우곤동축승고장진단적반맹신호처리방법.채용모형단급감속치륜상적실험수거험증료해방법적유효성.
In accordance with the cyclostationary nature of the vibration signal of rotating machine,the blind equalization technique based on output second order statistic (SOS) was introduced to recover "real" vibration signal from multi-sensors signals,which is essentially the data level information fusion for homogeneous sensors signals. Based on the prior knowledge of the order spectral structure of the faulty vibration signal of rolling bearing,two performance indexes were proposed to optimize the blind equalization filter parameters. Finally,a semi-blind signal processing method for rolling bearing fault diagnosis was given. The performance of the method was verified with experiment data on a single reduction gearbox test rig.