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Exception-based monitoring on minor plant equipment avoids major loss of MW hours with minimal effort Authors

机译：基于异常的小植物设备的监控避免了MW小时的主要损失，努力最少

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摘要

In power plant monitoring where high-value assets such as boilers and turbines receive priority resources, smaller equipment such as air preheaters and pumps can be overlooked or even neglected. However, when problems on small equipment cascade into larger failures, they can trigger a major loss of Megawatt hours, increasing the op-gap and costing significant company dollars through operational losses and maintenance costs. A commercially available solution (SmartSignal Corp., Lisle, IL) uses similarity-based modeling, an advanced pattern recognition technology, to provide real-time monitoring that gives early warning of impending equipment failures and process upsets. The automated system directs the analyst's attention to abnormally behaving equipment sensors, requiring the analyst to review a small fraction of the total number of signals being monitored. This method of exception-based monitoring is becoming increasingly more necessary as growing plant instrumentation creates a need for analysts to extract useful and actionable information out of volumes of available data. In addition, early warning of equipment problems allows time for diagnosis and repair in a proactive manner, avoiding further equipment degradation and catastrophic failures. The result is an improved method for avoiding unscheduled plant shutdowns using minimal effort. This paper discusses the monitoring methods, data results, early warning of failure, the business use case, financial benefits, and how the solution can be expanded across a fleet of power plants.
机译：在电厂监测中，锅炉和涡轮机等高价值资产接收优先资源，诸如空气预热器和泵等较小的设备可以被忽视甚至忽略。然而，当小型设备的问题级联进入更大的故障时，他们可以通过运营损失和维护成本增加兆瓦的主要损失，增加运营差距和成本高度的公司美元。市售的溶液（的SmartSignal公司，莱尔，IL）使用基于相似性的模型，一种先进的模式识别技术，以提供实时监控给出即将发生设备故障和过程干扰的预警。自动化系统将分析师注意异常表现的设备传感器，要求分析师审查正在监控的信号总数的一小部分。由于种植工厂仪器创造了分析师，这种基于异常的监测方法变得越来越必要，以便在可用数据中提取有用和可操作的信息。此外，设备问题的预警允许以积极的方式进行诊断和修复的时间，避免进一步的设备劣化和灾难性失败。结果是使用最小努力避免未划分的工厂停机的改进方法。本文讨论了监测方法，数据结果，失败的预警，商业用例，经济利益以及解决方案如何在发电厂的舰队中扩展。

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