Data Normalization Analysis for Electirc Energy Meter

• Published in: 2020 Chinese Control And Decision Conference (CCDC) pp. 4258 - 4263
• Main Authors: Ding, Li, Tang, Dengping, Wei, Wei, Li, Fan, Cai, Wenjia
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2020
• Subjects: Analytic hierarchy process; Batteries; Circuit faults; Data models; Data normalization; Fault analysis; Voltage measurement; Watt-hour meter; Watthour meters
• ISSN: 1948-9447
• DOI: 10.1109/CCDC49329.2020.9164076

The application of electric energy meter in electric power industry is more and more widespread meanwhile its failure rate is also increasing. It is a key problem for the purchase of electric energy meter to analyze the data of electric energy meter effectively. By analyzing the failure data of Hubei Power Grid's electric energy meter, this paper makes statistics of some operation failure examples. Data normalization is the data preprocessing process of power meter fault analysis. Data normalization can greatly reduce the amount of data operation and improve the speed of operation. Common normalization methods include [- 1, + 1], N (0,1), etc. In this paper, a fault analysis method based on data normalization is proposed, i.e., the quantitative evaluation and hierarchical management of supplier product quality and design scheme are carried out using analytic hierarchy process to establish a suitable mathematical model of a fault analysis and evaluation system for the watt hour meter. It is largly important to study the fault of the watt hour meter for the prevention of large-scale fault and the reliability of the power grid system.