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Failure Diagnosis and Maintenance Decision Auxiliary System of Large-Scale Turbine Compressor Unit

机译:大型汽轮机压缩机装置的故障诊断和维护决策辅助系统

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In order to enhance operation safety of unit, at present, state monitoring of large-scale rotary machine has been universally applied. Failure diagnosis technology receives universal emphasis and it is continually developing from machine maintenance at fixed time to maintenance according to actual condition. With the development in communication and network technology, people are no longer satisfy with diagnosis technology of single machine, and they hope diagnosis technology can be share by all so as to solve more and more machine failure. So networking has become to be the inevitable trend for the development of diagnosis technology. Failure diagnosis and maintenance decision auxiliary system of large-scale turbine unit is one distributed network system towards the whole enterprises, it makes networking on 18 sets of large-scale tribune compressor unit of enterprises. System can not only make online monitoring and failure diagnosis on operation state of theses machines, but also it can provide the basic state and artificial monitoring information at fixed time, it combines with vibration data, process parameter and existing artificial periodic monitoring information together to realize periodic evaluation of machine at normal state and comprehensive failure diagnosis analysis at abnormal state, so it provides important base for the early failure discovery and maintenance decision of machine. It fundamentally changes the backward key unit inspection as well as maintenance management way and increases management level of equipment.
机译:为了提高单位的操作安全,目前,大型旋转机的状态监测已普遍应用。故障诊断技术接收普遍强调,并根据实际情况,在固定时间不断地从机器维护开发。随着沟通和网络技术的发展,人们不再满足单机的诊断技术,他们希望诊断技术可以分享,以解决越来越多的机器故障。因此,网络已成为诊断技术发展的必然趋势。大型涡轮机组的故障诊断和维护决策辅助系统是一个朝向整个企业的分布式网络系统,它使网络建立了18套企业大规模论坛压缩机。系统不仅可以在线监测和故障诊断对多个机器的操作状态,而且还可以在固定时间提供基本状态和人工监测信息,它与振动数据,过程参数和现有的人工定期监测信息组合在一起实现定期评估机器在正常状态下的异常状态下的综合故障诊断分析,因此为机器的早期故障发现和维护决策提供了重要的基础。它从根本上改变了后退关键单元检查以及维护管理方式,增加了设备的管理水平。

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