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Development of an Algorithm for Identification and Confirmation of Fault in Thermal Power Plant Equipment Using Condition Monitoring Technique

机译:使用条件监测技术的识别和识别出故障识别算法的研制

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Thermal Power plant (TPP) is biggest source of power in India. About 65% of electricity is generated by using thermal power plant. The equipment of TPP runs for 24x7 days through the year. The fault of TPP equipment needs to identify at early stage before the breakdown of system or unit. The maintenance functions of TPP should be optimized carefully by selecting suitable maintenance strategy at least cost. Identification and confirmation of fault in TPP equipment is very important step for decision making. It helps to optimize the maintenance activity. This paper proposes an algorithm for use of co-ordinated condition monitoring approach for identification and confirmation of fault. The objective of this study is to improve the availability and heath of critical equipment of Dahanu Thermal Power Station (DTPS) located in western region of India.
机译:火电厂(TPP)是印度最大的权力来源。使用热电厂产生约65%的电力。 TPP的设备持续24x7天。 TPP设备的故障需要在系统或单位故障之前的早期阶段识别。 TPP的维护功能应通过至少成本选择合适的维护策略来仔细优化。 TPP设备中故障的识别和确认是决策的非常重要的一步。它有助于优化维护活动。本文提出了一种用于使用协调条件监测方法的算法,用于识别和确认故障。本研究的目的是改善位于印度西部地区的大武火电站(DTP)的关键设备的可用性和清层。

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