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Decisions for maintenance-intervals of equipment in thermal powerstations, based on few data

机译:基于少量数据的火力发电厂设备维护间隔决策

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摘要

This paper describes a maintenance scheduling for pump systems innthermal power stations in order to reduce the maintenance cost duringnthe whole period of operation, while keeping the current reliabilitynlevel of the pump system. The dimensional reduction method is used tonsolve the problem in which a few available data are used together withnother factors relating to the failures of pumps. The problem, that thenavailable data are limited to a short range of the operation periodncompared with the mean time to failure, is solved by extrapolating thenwhole distribution of period of failure using available actual data.nWeibull distribution approximation is used for this purpose: the datananalyzed for failure and population statistics are those of 569 pumps,nduring the past 17 years which were recorded at 19 thermal powernstations owned by Kyushu Electric Power Company. The results of thenanalysis by the proposed method provided the most suitable maintenanceninterval for each pump, and hence are helpful to reduce the expense ofnunnecessary maintenance
机译:为了降低整个运行期间的维护成本,同时保持泵系统当前的可靠性水平,本文介绍了热电厂泵系统的维护计划。使用降维方法可以解决以下问题:将一些可用数据与与泵故障相关的其他因素一起使用。将可用数据限制在操作周期的短范围内(与平均故障时间相比)的问题是通过使用可用的实际数据外推故障周期的整个分布来解决的.nWeibull分布近似用于此目的:过去17年中,九州电力公司拥有的19个热电站记录了569台水泵的故障和人口统计数据。所提方法的分析结果为每个泵提供了最合适的维护间隔,因此有助于减少不必要的维护费用

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