Approach for fault diagnosis of discernibility matrix and condition entropy fusion

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (17): 4-6.

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Approach for fault diagnosis of discernibility matrix and condition entropy fusion

ZHANG Guangyi1，SU Yanqin1，CHENG Jihong2

1.Graduate Student’s Brigade，Naval Aeronautical and Astronautical University，Yantai，Shandong 264001，China
2.Department of Scientific Research，Naval Aeronautical and Astronautical University，Yantai，Shandong 264001，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-06-11 Published:2011-06-11

一种融合差别矩阵和条件熵的故障诊断方法

张光轶1，苏艳琴1，程继红2

1.海军航空工程学院研究生管理大队，山东烟台 264001
2.海军航空工程学院科研部，山东烟台 264001

Abstract

Abstract: The reduction algorithm based on discernibility matrix algorithm can not avoid the “knowledge explosion” when the reduction objects are excessive.This paper introduces the relative disernibility matrix and proposes an algorithm based on relative discernibility matrix and condition entropy.Then the algorithm is applied to some aero radio equipment for fault diagnosis.The results show that the fault diagnosis results are consistent with those based on the pure discernibility matrix algorithm and pure condition entropy algorithm，and the new algorithm is simpler than the both two.

Key words: rough sets theory, discernibility matrix, condition information entropy, fault diagnosis

摘要： 当约简对象过多时，粗糙集中基于差别矩阵的属性约简算法无法摆脱“知识爆炸”的问题。引入相对差别矩阵的概念，提出一种基于相对差别矩阵和条件信息熵的算法，比较分析了该算法与单纯应用差别矩阵算法和信息熵算法的优势，应用于某型机载电台设备进行故障诊断，结果表明3种算法结果一致，并且是对单纯差别矩阵和信息熵算法的简化。

关键词: 粗糙集, 相对差别矩阵, 条件信息熵, 故障诊断

ZHANG Guangyi1，SU Yanqin1，CHENG Jihong2. Approach for fault diagnosis of discernibility matrix and condition entropy fusion[J]. Computer Engineering and Applications, 2011, 47(17): 4-6.

张光轶1，苏艳琴1，程继红2. 一种融合差别矩阵和条件熵的故障诊断方法[J]. 计算机工程与应用, 2011, 47(17): 4-6.

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Approach for fault diagnosis of discernibility matrix and condition entropy fusion

一种融合差别矩阵和条件熵的故障诊断方法

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