摘要
文章针对水电故障诊断系统中普遍采用的传感器阀值判断方法引起的信息损失问题,将决策级信息融合技术应用于故障诊断系统中。在模糊综合评判技术和软判决融合结构下,提出了一种新的决策级信息融合算法。该算法以合成运算和全局决策融合来自多传感器的局部判决以获取所处理对象的综合决策分析,并通过在丰满水电仿真系统的故障诊断系统中的实际应用表明该算法优于传统的故障检测方法。
In this paper,to overcome the loss of information in the hydroelectric fault diagnosis system by using sensor threshold method,a new decision information fusion algorithm is introduced to the fault diagnosis system,which makes use of the fuzzy comprehensive assessment under the'soft'decision architecture.The process of fusion is composed of the comprehensive operation and the global decision through fusing the local decision of multiple sensors for obtaining the global decision of the concerned object at the fusion center.In the practical application,the algorithm has been success-fully applied in the temperature fault detection and diagnosis system of Hydroelectric Simulation System of Jilin Feng-man.,the performance of the algorithm is better than that of the traditional diagnosis method.
出处
《计算机工程与应用》
CSCD
北大核心
2002年第15期18-19,30,共3页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:69873007)