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Availability analysis of thermal power plant boiler air circulation system using Markov approach

机译:基于马尔可夫方法的火电厂锅炉空气循环系统的可用性分析。

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The long term operation and planning of power plant depend upon an effective availability analysis and assessment of various systems in the plant concerned. The plant is expected to remain operational in a continual manner to achieve the desired production targets. Hence, the availability analysis of the boiler air circulation system plays an important role in this direction. For this purpose, the concerned system mathematical model based on Markov Birth-Death process has been developed. The system consists of four subsystems. The transition diagram represents reduced capacity, full working and failed state of the system. The differential equations associated with the transition diagram based on probabilistic approach have been solved recursively in order to develop the system steady state availability. Availability matrices represented measures the performance of the system concerned. In addition, different combinations of failures and repair rates provide various availability levels of the system. Maintenance decisions are taken based upon these values for improving availability of the power plant as well as the power supply. The result shows that the failure of the primary air fan affects the system availability at most, while failure of air heater affect it at least for different failures and repair rate combination of subsystems under study.
机译:电厂的长期运行和计划取决于有关电厂中各种系统的有效可用性分析和评估。预计该工厂将以持续的方式保持运转,以实现所需的生产目标。因此,锅炉空气循环系统的可用性分析在这个方向上起着重要的作用。为此,已经开发了基于马尔可夫出生-死亡过程的相关系统数学模型。该系统由四个子系统组成。过渡图表示系统的容量减少,完全工作和故障状态。为了发展系统的稳态可用性,递归地解决了与基于概率方法的过渡图相关的微分方程。所表示的可用性矩阵衡量相关系统的性能。另外,故障和修复率的不同组合提供了系统的各种可用性级别。基于这些值做出维护决策,以提高电厂和电源的可用性。结果表明,主风扇的故障对系统可用性的影响最大,而空气加热器的故障至少对所研究子系统的不同故障和维修率组合有影响。

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