改进的证据理论算法在煤矿带式输送机健康诊断中的应用  

Application of Improved Evidence Theory Algorithm to Health Diagnosis of Mine Belt Conveyors

作　　者：张国栋 宋东亚 祁瑞敏 

机构地区：[1]郑州工业应用技术学院机电工程学院,郑州451100

出　　处：《煤矿机械》2015年第3期283-284,共2页Coal Mine Machinery

基　　金：河南省高校科技创新人才支持计划项目(2008HASTIT022);河南省控制工程重点学科开放实验室开发基金项目(KG2009-1)

摘　　要：针对多传感器在实际运行环境中易受干扰,传统的证据理论在数据融合时具有局限性,提出了一种改进的信息融合方法。该方法将带式输送机传感器获取的信息模糊化,按照一定比例进行融合,从而实现对输送机性能的综合判决。实验表明:该方法提高了输送机工作的安全性、可靠性。According to the multi sensors in the actual environment are susceptibly disturbed, and also the traditional evidence theory has the limitations in the data fusion, presents an improved information fusion method. Information the belt conveyor sensor acquisition is fuzzed, fusion is performed according to a certain proportion, so as to realize the comprehensive judgment in the conveyor performance. Experiments show that the method can improve security and reliability of the conveyor.

关 键 词：信息融合 证据理论 改进的融合方法 

分 类 号：TD528[矿业工程—矿山机电]