摘要
针对带式输送机故障诊断过程中单个传感器获得的信息具有不确定性和局部性的问题,提出了一种基于多传感器模糊信息融合的故障诊断方法。该方法将温度、粉尘和烟雾传感器所获得的带式输送机信息模糊化,经过融合中心的合成运算和决策规则将其融合,从而得到精确的带式输送机状态估计与判断。实验结果表明,该方法提高了带式输送机故障诊断的准确性和可靠性。
In view of problems of uncertainty and locality of information obtained by a single sensor in process of fault diagnosis of belt conveyor, the paper proposed a fault diagnosis method based on multi- sensor fuzzy information fusion. The method fuzzes information of belt conveyor obtained by temperature sensor, dust sensor and smoke sensor, fuses the information through synthetic operation and decision rule in fusion center, so as to get accurate estimation and judge of state of the belt conveyor. The experimental result shows that the method improves accuracy and reliability of the fault diagnosis of belt conveyor.
出处
《工矿自动化》
北大核心
2013年第6期48-51,共4页
Journal Of Mine Automation
基金
河南省重点科技攻关项目(102102210197)
河南理工大学博士基金资助项目(B2010-23)
河南理工大学青年骨干教师资助计划项目(649133)
