模糊数据融合故障诊断在电缆监测中的应用  

Application of Fuzzy Data Fusion Fault Diagnosis Algorithm in Cable Monitoring

作　　者：孙文义[1] 马淑华[1] 顾德英[1] 

机构地区：[1]东北大学秦皇岛分校自动化工程系,秦皇岛066004

出　　处：《单片机与嵌入式系统应用》2010年第2期18-19,36,共3页Microcontrollers & Embedded Systems

摘　　要：针对路灯电缆工作状态的综合性和复杂性,为了准确判断其工作状态,提出了一种应用多传感器模糊数据融合技术的故障诊断方法。该方法采用多传感器监测电缆的电压、电流、通信状态、通电状态等参量,将多个传感器获得的多元信息模糊化后,经过融合运算和故障诊断规则,对电缆的工作状态作出准确估计并用于信息决策。实验结果表明,该方法能够有效提高电缆工作状态故障诊断的准确性。With the comprehensiveness and complexity of the cable in view, the paper puts forward a fault diagnosis algorithm using multi-sensor fuzzy data fusion technology to determine the functional mode of the cable. The method uses multi sensor to monitor the voltage, the current, the states of communication and so on, and then after multivariate information fuzzification, by the fault diagnosis rules makes an accurate decision of the cable state which can be used in information decision. The experiment result shows that the method can improve the performance of the cable monitoring system.

关 键 词：模糊数据融合 故障诊断 多传感器 电缆监测 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]