To detect substation faults for timely repair, this paper proposes a fault detection method that is based on the time series model and the statistical process control method to analyze the regulation and characteristics of the behavior in the switching process. As the first time, this paper proposes a fault detection model using SARIMA, statistical process control (SPC) methods, and 3σ criterion to analyze the characteristics in substation’s switching process. The employed approaches are both very common tools in the statistics field, however, via effectively combining them with industrial process fault diagnosis, these common statistical tolls play excellent role to achieve rich technical contributions. Finally, for different fault samples, the proposed method improves the rate of detection by at least 9% (and up to 15%) than other methods.

为了及时发现变电站的故障以进行及时的维修，提出了一种基于时间序列模型和统计过程控制方法的故障检测方法，以分析开关过程中行为的规律和特征。本文首次提出了利用SARIMA，统计过程控制（SPC）方法和3σ准则的故障检测模型，以分析变电站切换过程中的特征。所采用的方法都是统计领域中非常常用的工具，但是，通过有效地将它们与工业过程故障诊断相结合，这些常见的统计量在实现丰富的技术贡献方面发挥了出色的作用。最后，对于不同的故障样本，所提出的方法比其他方法提高了至少9％（最高15％）的检测率。