Data Quality Assessment for Electrical Equipment Condition Monitoring

In recent years, with the rapid development of industrial informatization, the amount of data collected and to be processed in various fields is increasing day by day. In the era of big data, data is the carrier of information. During the process of data acquisition, dirty data may be generated due to factors such as personnel errors and equipment failures. Low-quality data can affect application reliability and lead to wrong decisions, therefore effective measures are required to be taken to guarantee data quality. Data quality assessment is an important part. At present, the quality assessment methods of some industrial data only stay in the theoretical framework, lack of concrete operating methods based on reality. In this paper, a data quality assessment system method is proposed for data of electrical equipment condition monitoring based on analytic hierarchy process. Specific rules will be designed according to data characteristics and internal connection to assess data quality from different dimensions such as integrity, accuracy, and uniqueness.