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An Optimal Maintenance Policy for Compressor of a Gas Turbine Power Plant

机译:燃气轮机压缩机最佳维护策略

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This paper proposes a condition based maintenance policy for compressors of industrial gas turbine. Compressor blade fouling contributes a major performance loss in the operation of gas turbine. Water washing is usually done for recovery of the blade fouling problem. There exist two different washing methods, namely, online and offline washings. Many researchers suggested that performing a combined program of regular online washing plus periodic offline washing would give fruitful results with respect to economy. However, such studies are of empirical nature or have considered only deterministic treatment. Considering the rate of fouling as discrete state random process, we propose a condition based maintenance policy with periodic online washing and inspection directed offline washing. According to this policy, the compressor undergoes regular online washes for every 1/λ operating hours, and also undergoes inspections at constant rate λ_I. If the observed condition at an inspection is worse than threshold deterioration state, then perform offline washing. Otherwise, continue with online washing. The proposed algorithm gives optimum schedules for both online washing and inspections considering minimization of total cost per operating hour as objective. It also gives optimum threshold deterioration level for performing offline washing. A comparison of the results for a hypothetical gas turbine compressor is presented as illustration.
机译:本文提出了一种基于状态的工业燃气轮机压缩机维护策略。压缩机叶片结垢在燃气轮机的运行中造成了主要的性能损失。通常进行水洗以恢复叶片结垢问题。存在两种不同的洗涤方法,即在线和离线洗涤。许多研究人员建议,执行定期在线洗涤与定期离线洗涤的组合程序将在经济方面取得丰硕的成果。但是,此类研究具有经验性质,或仅考虑了确定性治疗。考虑到结垢率是离散状态随机过程,我们提出了一种基于状态的维护策略,该策略具有定期在线清洗和针对检查的离线清洗。根据此政策,压缩机每1 /λ运行小时要进行定期的在线清洗,并且还要以恒定速率λ_I进行检查。如果检查时的观察条件比阈值劣化状态差,请进行离线清洗。否则,请继续在线清洗。提出的算法以最小化每个操作小时的总成本为目标,给出了在线清洗和检查的最佳时间表。它还为执行脱机清洗提供了最佳阈值劣化级别。假设的燃气轮机压缩机的结果比较作为说明。

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