基于仿真的故障诊断专家系统应用研究  

Application of Fault Diagnosis Expert System Based on Simulation

作　　者：宋新民[1] 龙杨喜 贾志军 王学明[2] 

机构地区：[1]南京理工大学自动控制系,南京210094 [2]总装军械技术研究所,石家庄050000

出　　处：《系统仿真学报》2006年第4期1038-1040,共3页Journal of System Simulation

摘　　要：针对某自行高炮火控系统的故障诊断,为解决其知识获取的“瓶颈”问题,提出了一种计算机仿真与人工智能相结合的知识获取方案。该诊断系统采用多种推理方法相结合的集成推理策略,可以有效地提高故障诊断的可靠性。多次的故障诊断实验表明,此系统不但突破了知识获取的瓶颈,而且具有很高的故障识别率。Aiming at the fire control system fault diagnosis of some auto Archibald, and in order to solve the bottle-neck of knowledge acquisition, a new method for knowledge acquisition was put forward which combines the computer simulation and artificial intelligence. What＇s more, the system adopts integration discursion strategy which combines many kinds of discursion methods which can increase the diagnosis dependability for the fault system. In many of the simulation experiments, the results indicate that the system has a very high identify probability for the most faults.

关 键 词：故障诊断 专家系统 系统仿真 知识获取 集成推理 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]