基于神经网络与故障树的电气设备故障诊断系统  

Fault Diagnosis System for Electrical Equipment Based on Neural Network and Fault Tree

作　　者：孙永盛[1] 鲁国良[1] 公丕平[1] 潘贵成 

机构地区：[1]解放军理工大学工程兵工程学院 [2]73111部队装备部

出　　处：《机电产品开发与创新》2012年第2期128-130,共3页Development & Innovation of Machinery & Electrical Products

摘　　要：为提高工程车辆电气设备的维护保养能力,构建了其电气系统的故障诊断专家系统。进行了该装备各个组成系统的故障模式与故障元件分析,研究了故障树的建树步骤与故障树的模型分析与建立,设计了基于神经网络推理技术的专家系统正向推理机制。研究成果在部队中的应用表明,该方法有效地提高了部队的装备故障维护与保障能力。Fault diagnosis expert system for dectrical system is established so as to improve the maintenance ability for the electrical equip- ments of engineering vehicles. The analysis on fault pattern and fault components of every constituent system is carried out. The construction process and model analysis of fault tree are demonstrated. Consequently the forward reasoning mechanism of expert system based on inference technique of neural network is constructed too. The application in military units verifies that this method could effectively enhance the fault diagnosis, maintenance and support capability of the military troop.

关 键 词：专家系统 故障树分析 神经网络 推理机 故障诊断 

分 类 号：TP391.5[自动化与计算机技术—计算机应用技术]