基于寿命消耗过程预测和风险分析的汽轮机维修计划

IF 2.2 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Eksploatacja I Niezawodnosc-Maintenance and Reliability Pub Date : 2022-05-20 DOI:10.17531/ein.2022.3.1
A. Rusin, Martyna Tomala
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引用次数: 4

摘要

燃煤电厂的灵活运行会加剧其生命消耗过程,这是一个严重的问题,特别是对于服役时间较长的机组而言。在汽轮机转子中,低周疲劳引起的裂纹扩展速率和材料磨损增加。研究的目的是试图预测这些过程的发展,并估计关键元件损坏的概率,如高压和中压转子。在应力状态分析中,采用有限元法(FEM),蒙特卡罗法和二阶可靠度法(SORM)计算失效概率。提出了利用风险分析对汽轮机进行预防性维护计划的方法。针对不同的操作场景和故障场景,确定了进行诊断测试和预防性维修的最佳间隔。这可以降低成本,同时确保涡轮机的安全运行。
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Steam turbine maintenance planning based on forecasting of life consumption processes and risk analysis
Flexible operation of coal-fired power plants contributes to the intensification of the life consumption processes, which is a serious problem especially in the case of units with a long in-service time. In steam turbine rotors, the crack propagation rate and material wear caused by low-cycle fatigue increase. The aim of the research is an attempt to forecast the development of these processes and to estimate the probability of critical elements damage, such as the high-pressure and intermediate-pressure rotors. In the stress state analyses, the finite element method (FEM) is used, the Monte Carlo method and the second order reliability method (SORM) is apply to calculate the probability of failure. It is proposed to use risk analysis to plan preventive maintenance of the turbine. The optimal intervals for carrying out diagnostic tests and prophylactic repairs is determined for various operating scenarios and various failure scenarios. This enables a reduction of the costs while ensuring the safety of the turbine's operation.
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来源期刊
CiteScore
5.70
自引率
24.00%
发文量
55
审稿时长
3 months
期刊介绍: The quarterly Eksploatacja i Niezawodność – Maintenance and Reliability publishes articles containing original results of experimental research on the durabilty and reliability of technical objects. We also accept papers presenting theoretical analyses supported by physical interpretation of causes or ones that have been verified empirically. Eksploatacja i Niezawodność – Maintenance and Reliability also publishes articles on innovative modeling approaches and research methods regarding the durability and reliability of objects.
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