应用人工智能技术进行采煤机故障诊断与预报是８０年代以来采煤机发展最重要的标志之一。笔者与兖州矿务局南屯煤矿、太原矿山机械厂合作以国产ＡＭ５００采煤机为对象，开发了一个可与采煤机实时工况监测系统相连的采煤机故障诊断专家系统ＳＦＤＥＳ（ＳｈｅａｒｅｒＦａｕｌｔＤｉａｇｎｏｓｔｉｃＥｘｐｅｒｔＳｙｓｔｅｍ）。本文围绕ＳＦＤＥＳ开发过程中所遇到的主要技术问题进行论述 Fault diagnosis and prediction of shearer using artificial intelligence technology is one of the most important symbols of the development of shearer since the 1980s. The author, in cooperation with Nantun Coal Mine of Yanzhou Mining Administration and Taiyuan Mining Machinery Factory, has developed a Shearer Fault Diagnostic Expert System (SFDES) which can be connected to the real-time condition monitoring system of shearer based on the domestic AM500 shearer. . This article discusses the main technical problems encountered in the development of SFDES