基于多信息融合的刮板输送机减速机模糊故障诊断专家系统  

Fault Diagnosis Fuzzy Expert System of Scraper Conveyer Reducer Based on Multi-information Fusion

作　　者：马海龙 Ma Hailong(Beijing Tiandi Longyue Science and Technology Co.,Ltd.,Beijing 100043,China)

机构地区：[1]北京天地龙跃科技有限公司,北京100043

出　　处：《煤矿机械》2019年第9期174-176,共3页Coal Mine Machinery

基　　金：中国煤炭科工集团有限公司科技创新创业资金专项青年项目（2018QN034）;天地科技股份有限公司科技创新创业资金专项青年项目（2018-TD-QN045）

摘　　要：在刮板输送机减速机上采集到的状态信息较多,同时故障征兆与故障原因之间具有不确定性和复杂性。为了解决上述问题,构建了以模糊理论为基础的模糊专家系统。给出了专家系统的结构,通过经验数据和专家经验给出模糊关系矩阵和隶属函数,从而实现了刮板输送机减速机故障征兆和故障原因的模糊关系表达。利用刮板输送机减速机的故障实例进行验证,结果表明,该专家系统准确率高,为刮板输送机减速机的故障诊断提供了新的诊断方法。Many status information about the scraper reducer is collected. At the same time, there are uncertainty and complexity between the fault symptoms and causes. To solve these problems, a fuzzy expert system based on fuzzy theory was constructed. The structure of the expert system was introduced. Fuzzy relation matrix and membership function were determined by empirical data and expert experience. The fuzzy relation expression of scraper reducer fault symptoms and causes was realized. A fault example of scraper reducer was used to verify the accuracy of the expert system. The results show that the expert system has high accuracy and provides a new diagnostic method for the fault diagnosis of scraper reducer.

关 键 词：多信息融合 模糊专家系统 刮板输送机减速机 故障诊断 

分 类 号：TD528.3[矿业工程—矿山机电]