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THE DESIGN OF A DECISION SUPPORT SYSTEM FOR THE VIBRATION MONITORING OF TURBINE GENERATORS

机译:涡轮发电机振动监测决策支持系统的设计

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Condition Monitoring (CM) systems monitor the health of expensive plant items such as turbine generators. They interpret turbine parameters by signaling an alarm when pre-defined limits are breached. Often these alarms have no further operational consequence but still require investigation by an expert. This is a time consuming and laborious process due to the volume of data interpreted for each alarm. In order to reduce the burden of alarm assessment, a Decision Support System (DSS) is proposed. The DSS will feature a Routine Alarm Assessment (RAA) module which provides an initial analysis of the alarms, highlighting those with no further operational consequence and enabling the expert to focus on those which indicate a genuine problem with the turbine. The structured approach taken to capture and document the expert knowledge on RAA along with the generation of a module specification and the selected IS techniques are outlined. The implementation of an RAA prototype is discussed along with how this will act as a foundation for a full alarm interpretation and fault diagnostic system.
机译:状态监测(CM)系统监控涡轮发电机等昂贵植物物品的健康状况。当预定限制破坏时,通过发信号通知警报来解释涡轮机参数。这些警报通常没有进一步的运作后果,但仍需要专家调查。这是由于每个警报解释的数据量导致的耗时和费力的过程。为了减少报警评估的负担,提出了决策支持系统(DSS)。 DSS将采用例程报警评估(RAA)模块,该模块提供了对警报的初步分析,突出显示那些没有进一步的操作后果的人,并使专家能够专注于表明涡轮机的真正问题的那些。概述了所采用的结构化方法和记录RAA的专家知识以及生成模块规范和所选技术。讨论了RAA原型的实现以及如何作为完整报警解释和故障诊断系统的基础。

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