Ⅰ.引言近年来由于科学技术的进展,机械、冶金、化工、动力等工业部门的设备逐渐向大型化、复杂化和自动化方面发展,同时工序,制品甚至企业间的生产连系更加密切,因而设备故障导致生产中断,将带来十分巨大的影响;再者由于设备投资增加,更新步骤减缓,趋向于能长期安全运转,提高设备开机率,以发挥最大的效率和获得最大的经济效益,这样,在机器设备的保养维修等管理方面都有较大的改变。再加上测量技术、信号分析、模式识别和可靠性理论的发展,在设备运行管理中引入诊断系统,使从经验出发设定的维修周期与规模过渡到 Ⅰ. INTRODUCTION Due to the progress of science and technology in recent years, the equipment in the industrial sector such as machinery, metallurgy, chemical industry and power industry has gradually become larger, more complex and more automated. In the meantime, the production links between processes, products and even enterprises have become closer Equipment failure lead to production disruption, will have a huge impact; Also because of increased investment in equipment, slow down the update process tends to be safe and long-term operation, improve equipment startup rate, in order to maximize efficiency and maximize economic benefits, so , In the maintenance of machinery and equipment and other management have a greater change. Coupled with the development of measurement techniques, signal analysis, pattern recognition and reliability theory, a diagnostic system is introduced into the operation and management of equipment to allow the maintenance cycle and scale set by experience to transition to