This paper discusses data-driven fault diagnosis of the power plant reheater tube leakage based on their operating data. From the temperature sensors, fault data and normal data are measured. Mahalanobis distance (MD) analysis was performed to quantitatively analyze whether the distribution of fault data differed from that of the normal data. Then, sequential probability ratio test (SPRT) was performed to determine the time to anomalies (TTAs). To verify detected TTAs, power-generation data was used. This paper demonstrated the feasibility of the proposed approach to detect reheater tube leakage prior to the failure.

中文翻译：

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基于燃煤电厂运行数据的数据驱动故障诊断

本文讨论了基于电厂数据的动力驱动再热器泄漏的故障诊断方法。从温度传感器测量故障数据和正常数据。进行了马氏距离（MD）分析以定量分析故障数据的分布是否不同于正常数据的分布。然后，执行顺序概率比测试（SPRT）以确定出现异常的时间（TTA）。为了验证检测到的TTA，使用了发电数据。本文证明了该方法在故障之前检测再热器管泄漏的可行性。