摘要
对液压泵的信号经特征提取后,构造了时域和频域两个证据体,并利用Manhattan距离方法建立了证据体的基本可信度分配函数,对得到的可信度通过数据融合进行液压泵的故障诊断。实例表明该方法计算量小,故障诊断准确率高。
After characteristically drawing the signal of the hydraulic pump, two evidence bodys, the time domain and the frequency region, were coneieved. Bsic probability assignment function of the body was set up by Manhattan distance. The basic probability was checked by information fusion and the fault diagnosi was carried out. It is shown that the method reduces the calculation and the fault diagnosis method proves highly effective.
出处
《机床与液压》
北大核心
2009年第10期266-268,共3页
Machine Tool & Hydraulics
基金
淮阴工学院科研基金项目(HG0521)
