基于改进模糊信息融合的煤矿带式输送机健康诊断  

Health diagnosis of coal mine belt conveyor based on improved fuzzy information fusion

作　　者：祁瑞敏 张国栋 代皓轩 QI Ruimin;ZHANG Guodong;DAI Haoxuan(School of Information Engineering of Xinjiang Institute of Technology,Aksu 843000,China)

机构地区：[1]新疆理工学院信息工程学院,阿克苏843000

出　　处：《电子测试》2024年第1期16-20,共5页Electronic Test

基　　金：新疆维吾尔自治区大学生创新创业训练项目(省级)(S202313558016)资助。

摘　　要：针对煤矿带式输送机运用多传感器信息融合处理冲突证据时产生悖论的问题,提出一种基于相似矩阵和信息熵的改进模糊信息融合算法,引入模糊集理论中的隶属度函数来获取各传感器提供的基本概率赋值,由证据之间的冲突相量,推算出表征证据之间相互支持度的相似度矩阵,以确定各证据的信任度系数,将信任度系数加权平均,然后运用信息熵函数,对冲突证据进行修正,建立了一种新的冲突证据的处理方法,最后运用证据理论合成规则实现模糊信息融合。通过算法比较表明该方法的有效性,同时该方法可有效识别带式输送机的健康诊断状况,且避免误诊现象。In order to solve the problem of paradox when mining belt conveyor uses multi-sensor information fusion to deal with conflicting evidence,an improved fuzzy information fusion method based on similarity matrix and information entropy is proposed.The membership function in fuzzy set theory is introduced to obtain the basic probability assignment provided by each sensor.By the amount of conflicting evidence,the similarity matrix of mutual support between the evidences is calculated.In order to determine the trust coefficient of each evidence,the trust coefficient is weighted average,then the information entropy function is used to modify the conflict evidence,and a new conflict evidence processing method is established.Finally the rule of evidence theory synthesis is applied to achieve fuzzy information fusion.It shows that the method is effective by algorithm comparison,and this method can effectively identify the health diagnosis status of belt conveyor and can avoid misdiagnosis.

关 键 词：煤矿带式输送机 模糊信息融合 相似度矩阵 信息熵 健康诊断 

分 类 号：TD528.1[矿业工程—矿山机电]