DocumentCode :
3581148
Title :
Technical aspects and case study of big data based condition monitoring of power apparatuses
Author :
Jinxin Huang ; Lin Niu ; Jie Zhan ; Xiaosheng Peng ; Junyang Bai ; Shijie Cheng
Author_Institution :
State Grid of China Technol. Colleague, State Grid Corp. of China, Jinan, China
fYear :
2014
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents the key technologies of big data based condition monitoring of power apparatuses. Firstly, the characteristics of big data and big data of power system are discussed and the application prospects of big data based condition monitoring of power apparatuses is presented and the key technologies of the system is discussed, in terms of big data analyzing technologies, big data management technologies, big data processing technologies and big data visualization technologies. Thirdly, big data based condition assessment techniques of power apparatuses are discussed, including data fusion of signal collected from different sensors, historical trending analysis and association analysis of combined equipments. Finally, to further introduce big data techniques, an integrated condition monitoring system of transformer, GIS and power cable is presented, including system hardware structures and big data based condition assessments.
Keywords :
Big Data; condition monitoring; gas insulated switchgear; power apparatus; power cables; power transformers; sensor fusion; GIS; association analysis; big data analyzing technologies; big data based condition assessments; big data based condition monitoring; big data management technologies; big data processing technologies; big data visualization technologies; data fusion; historical trending analysis; integrated condition monitoring system; power apparatuses; power cable; power system; system hardware structures; transformer; Big data; Condition monitoring; Data integration; Data visualization; Monitoring; Partial discharges; Power systems; Big data; condition monitoring; data fusion; key Technologies; power apparatuses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
Type :
conf
DOI :
10.1109/APPEEC.2014.7066164
Filename :
7066164
Link To Document :
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