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Failure rate determination and Failure Mode, Effect and Criticality Analysis (FMECA) based on historical data for photovoltaic plants

机译:基于光伏电站历史数据的故障率确定以及故障模式,影响和关键性分析(FMECA)

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It is essential for photovoltaic plants investors, operators and equipment manufacturers to identify the failure modes and rates of the system in order to reduce investment risk, to focus their maintenance efforts on preventing those failures and to improve longevity and performance of the PV Plant. In this paper, it is assessed the importance of the Failure Modes within a real existing portfolio in Spain and Italy of continuous operation since 2008 and it is identified the module level failure modes, which are imperceptible in the standard monitoring systems, through the application of thermographic inspection. The experimental Mean Time Between Failures (MTBF) and the failure rates are calculated and these ratios are used to define the ranking criterion to perform the Failure Mode, Effect and Criticality Analysis (FMECA) and to focus on the module level analysis. The conclusions highlight the most critical sub-system and failure modes within a photovoltaic PV plant.
机译:对于光伏电站的投资者,运营商和设备制造商而言,至关重要的是确定系统的故障模式和发生率,以降低投资风险,将维护工作的重点放在防止这些故障上,并提高光伏电站的寿命和性能。在本文中,评估了故障模式在西班牙和意大利自2008年以来连续运行的真实现有产品组合中的重要性,并通过应用以下方法确定了标准监控系统中无法察觉的模块级故障模式。热像仪检查。计算实验平均故障间隔时间(MTBF)和故障率,并使用这些比率来定义排序标准,以执行故障模式,影响和临界度分析(FMECA)并专注于模块级别分析。结论突出了光伏光伏电站中最关键的子系统和故障模式。

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