我厂现有900余台设备,其中有很多是技术先进、结构复杂的设备,其巡检工作量大,故障因素很难靠人的感官和经验判定。如再沿用定期维修或事后维修的方式与我厂全面推行“精益化生产方式”的要求不相适应。为此,我们与大连理工大学机床振动研究所合作,开发了设备故障预知诊断专家系统——PDM2000系统。它是一个集成化、智能化的设备预知维修与故障 I plant more than 900 existing equipment, of which many are advanced technology, complex structure of the equipment, the inspection workload, failure factors difficult to rely on the human senses and experience to determine. If we follow the regular maintenance or after-service maintenance and I plant the full implementation of the “lean production methods” does not meet the requirements. To this end, we cooperate with Institute of Machine Tool Vibration of Dalian University of Technology, developed a diagnostic expert system for equipment failure prediction - PDM2000 system. It is an integrated, intelligent device that predicts maintenance and malfunctions