Research On a General Fast Analysis Algorithm Model For Pd Acoustic Detection System: The Software Development

被引：0

作者：

Huang, Xing-De ^{[1
]}

Fu, Chen-Zhao ^{[1
]}

Su, Lei ^{[1
]}

Zhao, Dan-Dan ^{[1
]}

Xiao, Rong ^{[1
]}

Lu, Qi-Yu ^{[2
]}

Si, Wen-Rong ^{[1
]}

机构：

[1] State Grid Shanghai Elect Power Res Inst, Shanghai 200437, Peoples R China

[2] State Grid Shanghai Municipal Elect Power Co, Shanghai 200122, Peoples R China

来源：

2019 11TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2019) | 2019年

关键词：

GIS; acoustic detection; fault diagnosis; intelligent analysis; pattern identification; software development; DIGITAL DETECTION; CLASSIFICATION; IDENTIFICATION; PARTICLES; GIS;

D O I：

10.1109/ICMTMA.2019.00153

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

At present, the AE method has the advantages of live measurement, online monitoring and easy fault location, so it is very suitable for insulation defect detection of power equipments such as GIS, etc. In this paper, development of a data processing software for PD acoustic detection based on a general fast analysis algorithm model is introduced. With considering the signal flow chart of current acoustic detection system widely used in operation and maintenance of power system equipments, the main function of the developed PD AE signals analysis software was designed, including the detailed analysis of individual data file, identification with phase compensation based on 2D PRPD histograms, batch processing analysis of data files, management of discharge fingerprint library and display of typical defect discharge data. And all of the corresponding developed software pages are displayed.

引用

页码：671 / 675

页数：5

共 19 条

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