Determining South African Distribution Power System Big Data Integrity Using Fuzzy Logic Power Measurements Data Application

被引：0

作者：

Motepe, Sibonelo ^{[1
]}

Twala, Bhekisipho ^{[1
]}

Stopforth, Riaan ^{[2
]}

机构：

[1] Univ Johannesburg, Fac Engn & Built Environm, Johannesburg, South Africa

[2] Univ KwaZulu Natal, Stopforth Mechatron Robot & Res Lab, Durban, South Africa

来源：

2017 PATTERN RECOGNITION ASSOCIATION OF SOUTH AFRICA AND ROBOTICS AND MECHATRONICS (PRASA-ROBMECH) | 2017年

关键词：

Big Data; Fuzzy Logic; Data Integrity; Distribution Power Systems; MEASUREMENT ACCURACY;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a fuzzy logic method and experiment to determine distribution power systems big data integrity. The method is applied on a South African power systems network loading measurements data. Simulation results show fuzzy logic as an efficient strategy in determining loading data integrity in comparison to a traditional approach of manual human analysis. In addition, the proposed strategy consumes less time relative to this traditional manual data analysis method of using plots for visual inspection, load balancing and data files cross-checking.

引用

下载

页码：139 / 143

页数：5

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