The Software Design of Intelligent Diagnosis System for Partial Discharge Fault of GIS

Jian Wei Shen; Wei Min  Su; Xiao Rong Lv; Xiao Xia Huang

doi:10.4028/www.scientific.net/AMR.756-759.365

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759The Software Design of Intelligent Diagnosis...

The Software Design of Intelligent Diagnosis System for Partial Discharge Fault of GIS

Abstract:

The correct identification of GIS partial discharge type is essential for assessing the insulation status of GIS and developing a reasonable maintenance strategy. After the analysis of the intelligent diagnosis system design, the software architecture of host and remote computer is given by this article. Site host computer completes the data preprocessing and the remote host computer completes the function of real-time observation, data storage and inquiry, spectrum analysis and pattern recognition. The test shows that the software can complete the intelligent recognition of partial discharge.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

365-371

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.365

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Online since:

September 2013

Authors:

Jian Wei Shen, Wei Min Su, Xiao Rong Lv, Xiao Xia Huang

Keywords:

Gas Insulated Switchgear (GIS), Neural Network (NN), Partial Discharge (PD), Pattern Recognition

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References

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