摘要
根据液压系统的故障特点，应用人工智能专家系统原理和面向对象的设计方法，用Ｂｏｒ－ｌａｎｄＣ＋＋语言在计算机上开发了农机液压系统故障诊断专家系统——ＡＭＨＳＴＥＳ，它解决了故障诊断专家供不应求的矛盾。该系统采用了“规则＋故障树”的知识表示方法，交互式知识获取形式，正向推理策略和不精确推理的ＣＦ模型，并备有诊断过程解释功能。能大大地提高液压系统故障诊断的效率和准确率。
According to the trouble feature of hydraulic system, using the principles of Artificial Intelligence(AI) Expert System and the design method of object orientation, the Troubleshooting Expert System of Agricultural Machinery Hydraulic System (AMHSTES) was developed by means of Borland C++ languages on the computer, which solves the contradiction that the supply is unable to meet the demand for Troubleshooting experts. The “rule + fault tree” model of knowledge representation, the mutual knowledge gaining form, the forward inference tactics and the CF model of inaccurate reasoning were adopted in AMHSTES. Furthermore, the system has the function of explaining troubleshooting process. It can greatly raise the efficiency and precise rate of Hydraulic System Troubleshooting.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
1999年第1期183-187,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家教委资助项目
关键词
农业机械
液压系统
故障
诊断
专家系统
agricultural machinery, hydraulic system, troubleshooting, expert system
