【摘要】 为提高振动数据测量的精度,提出了一种根据相关函数确定权值进行数据融合的方法。该方法在不知道传感器测量数据任何先验知识的情况下,可依据各传感器所测数据相关程度的变化,及时调整参与融合的各传感器权值。该方法简单易行,动态适应性好,抗干扰能力强。通过仿真试验表明,该方法的融合结果在精度、容错性方面均优于传统的平均值加权法,最后在旋转机械故障诊断中进行了实际应用,验证了该方法的可行性。更多还原

【Abstract】 In order to improve the precision of test date,a data fusion method determining the weighted value based on correlation function was presented. It was unnecessary for this algorithm to has any pre-defined knowledge about the measured data by these sensors,and it could adjust the fused sensor’s weight in time according to the variation of the data correlation degree. This method was flexible and simple with capability of dynamic adaptively and anti-jamming. The simulation shows that this method is effective and its fusion effects both in the precision and the fault-tolerant surpass the traditional weighting method of mean value. The application of the method to fault diagnosis of a rotary machine indicates that this method is feasible in the practical application.更多还原