基于多传感器数据融合的液压泵故障诊断研究  

Study on Fault Diagnosis of Hydraulic Pump Based on Multisensor Data Fusion

作　　者：李振中[1] 孙玉清[1] 陈海泉[1] 杨海军[2] 张勇[1] 孙中华[1] 

机构地区：[1]大连海事大学轮机工程学院,大连116026 [2]中远散货运输有限公司,天津300010

出　　处：《机床与液压》2006年第8期214-215,220,共3页Machine Tool & Hydraulics

摘　　要：将D-S证据理论应用于多传感器数据融合,提出了多传感器数据融合一般化方法,并将其应用于液压泵故障诊断。通过数据融合诊断结果与单传感器诊断结果的比较,证明多传感器数据融合能明显提高故障诊断的准确率。D - S evidence theory was applied in the multi - sensor data fusion, the generalized method of the data fusion was proposed and applied in the fault diagnosis of the hydraulic pump. Through the comparison of the results between the fusion diagnosis and the single sensor diagnosis, the fact that the accuracy of the fault diagnosis can be obviously improved by the method of multi - sensor data fusion was proved.

关 键 词：证据理论 数据融合 多传感器 故障诊断 

分 类 号：TH163.5[机械工程—机械制造及自动化]