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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，是专家系统用于农机液压系统故障诊断的一次有益的尝试
According to the fault characteristics of the hydraulic system, the principle of artificial intelligence expert system and the object-oriented design method are applied. On the computer developed by Bor-land C ++, an expert system of agricultural hydraulic system fault diagnosis - AMHSTES is developed, which solves the contradiction between supply and demand of fault diagnosis experts . The system uses the “rule + fault tree” knowledge representation, interactive knowledge acquisition form, forward reasoning strategy and inaccurate reasoning CF model, and with diagnostic process interpretation. Can greatly improve the efficiency and accuracy of hydraulic system fault diagnosis, which is a useful attempt of fault diagnosis of agricultural hydraulic system by expert system