作　　者： ; ;

机构地区： 洛阳理工学院

出　　处： 《煤炭科学技术》 2010年第5期97-99,103,共4页

摘　　要： 为了提高矿井通风机故障诊断的准确率,建立矿井通风机故障与检测参数的案例库,基于案例推理(Case-Based Reasoning,CBR)方式进行矿井通风机故障的诊断。详细介绍了矿井通风机CBR案例库的建立方法、案例库的检索方法。通过采用动态置信度阈值与静态置信度阈值综合判断方法进行案例检索与重用,显著改善了故障诊断系统的适用性。 In order to improve the accuracy rate of the fault diagnosis for the mine ventilator,a case bank of the mine ventilator fault and detection parameters for the mine ventilation was established.Based on the case-based reasoning method,the diagnosis was conducted on the fault of the mine ventilator.The paper introduced the establishment method of the case-based reasoning case bank and the search method of the case bank for the mine ventilator.The comprehensive combined method of the dynamic believable threshold value and the static believable value was applied to the case search and reapplication and could obviously improve the suitability of the fault diagnosis system.

关 键 词： 案例推理 矿井 通风机 故障诊断

领　　域： [自动化与计算机技术] [自动化与计算机技术]