机械设备故障监测与智能诊断  

The Mechanical Equipment Fault Supervise ＆ Intelligently Diagnose

作　　者：别云成[1] 张观明[1] 黄启俊 张斌 

机构地区：[1]武汉大学理学院光电技术系,430072 [2]武汉钢铁公司自动化部,430083

出　　处：《测控技术》1999年第9期42-44,共3页Measurement & Control Technology

摘　　要：分析了机械设备维护的现状,利用传感器和计算机采集原始振动信号，采用计算机技术和振动分析技术对重要设备进行在线监测，根据采集的原始振动信号进行趋势分析和精密分析来判断设备状态，从而实现了对设备进行科学的维护，及时诊断出齿轮的偏心、严重磨损等故障。The actuality of mechanical maintenance has been analysised. By using sensor and computer, the system can gather original vibration signal, and by adopting computer technology and vibration analysis technology, it can supervise and measure important equipments on-line. According to the gathering original vibration signal, and using trend analyse and precise analyse, the system can judge equipment's actu-al state. So we can maintain equipments scientically and di-agnose faults at once, such as the partiality and strict fray of gear wheel etc.

关 键 词：数据采集 故障监测 智能诊断 机械设备 

分 类 号：TH17[机械工程—机械制造及自动化] TP277[自动化与计算机技术—检测技术与自动化装置]