由于机械设备本身的复杂性,故障萌发的机遇性及多种表现形式,加之故障间的相互影响,使设备诊断变得复杂化,往往需要有关领域专家的经验才能更好地完成这项工作。为了更准确地诊断设备故障,人工智能技术已开始引入故障诊断领域,采用专家系统诊断设备故障,使诊断技术智能化,其意义十分重大。 Due to the complexity of machinery and equipment, the opportunity of failure and many forms of failure, coupled with the interaction between failures, complicate the diagnosis of equipment and often require the experience of relevant experts in the field to accomplish this task better. In order to diagnose equipment faults more accurately, artificial intelligence technology has begun to introduce fault diagnosis. It is of great significance to use expert systems to diagnose equipment faults and make diagnostic techniques intelligent.