Analysis on the sensitivity of smart meters failure rate based on SR-332 handbook

Author

Ji Jing ; Hou Xing-zhe ; Zheng Ke ; Ou Xi-yang

Author_Institution

State Grid Chongqing Electr. Power Co. Electr. Power Res. Inst., Chongqing, China

fYear

2014

fDate

8-9 May 2014

Firstpage

164

Lastpage

167

Abstract

Currently, parts stress method is the most suitable and practical method for smart meters reliability prediction, and SR-332 handbook based on parts stress method has been widely applied on the international commercial standard. This paper establishes the components´ and meters´ failure rate models based on SR-332 handbook, deduces the sensitivity models of components temperature stress factor, electrical stress factor and smart meter failure rate to ambient temperature and electrical stress level, then analyzes the change rule of sensitivity.

Keywords

power system protection; power system reliability; sensitivity analysis; smart meters; SR-332 handbook; ambient temperature; component temperature stress factor; electrical stress factor; electrical stress level; part stress method; sensitivity analysis; smart meter failure rate models; smart meter reliability prediction; Industries; Reliability; Sensitivity; Standards; Stress; Temperature; Temperature sensors; failure rate; parts stress method; sensitivity; smart meter;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Computer and Applications, 2014 IEEE Workshop on

Conference_Location

Ottawa, ON

Type

conf

DOI

10.1109/IWECA.2014.6845584

Filename

6845584