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In order to accurately grasp the actual operation of the governor of hydropower units, this paper proposed a multi-dimensional verification method of the governor operation data of hydropower units based on correlation analysis. The multi-dimensional correlation verification architecture was constructed to process the multi-dimensional operation data of the unit governor. The correlation analysis method was used to calculate the correlation degree between the multi-dimensional operation data change sequences, and the anomaly identification of the multi-dimensional operation data was completed by judging the range of the correlation degree. Based on the characteristics of the identified abnormal data, abnormal data reconstruction was completed from three dimensions of single point, multi-point and continuous abnormal data respectively to achieve multi-dimensional verification of governor operation data of hydropower units. The experiment shows that the method can effectively identify the abnormal data, reconstruct the missing data, reduce the abnormal rate of data through verification, and improve the availability of the governor operation data of hydropower units.

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为准确掌握水电机组调速器的实际运行情况，提出了一种基于关联分析的水电机组调速器运行数据多维度校验方法，即首先构建多维度关联校验架构，处理水电机组调速器多维度运行数据；然后采用关联分析法计算多维度运行数据变化序列之间的关联度，通过判断关联度的范围完成多维度运行数据的异常辨识；最后基于辨识后的异常数据特点分别从单点、多点及连续异常数据三个维度完成异常数据重构，实现水电机组调速器运行数据多维度校验。试验结果表明，该方法能够有效辨识异常数、重构缺失数据，通过校验降低数据异常率，提高了水电机组调速器运行数据的可用性。

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李文友（1973-），男，硕士、高级工程师，研究方向为电力自动化及远程控制，E-mail：gaoyihuic6@163.com

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李文友（1973-），男，硕士、高级工程师，研究方向为电力自动化及远程控制，E-mail：gaoyihuic6@163.com

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