DocumentCode :
2699586
Title :
Design and development of the reliability prediction software for smart meters
Author :
Zhou, Lixia ; Liao, Xun ; Li, Shunxin ; Yuan, Jincan
Author_Institution :
North China Grid Co. Ltd. Center of Metrol., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear :
2012
fDate :
15-18 June 2012
Firstpage :
612
Lastpage :
616
Abstract :
By analyzing the characteristics and specifying the reliability prediction process of smart meters, the reliability prediction software for smart meters is designed and developed in this paper. Three methods to predict the reliability of smart meters based on Telcordia SR-332, SN29500 and the combination of Telcordia SR-332 and SN29500 are provided in this software which can quickly calculate the reliability indicators including failure rate and MTTF on the component level, unit level and system level. The software consists of the data interface module, database management module, reliability prediction module, results output module and help module. The application of this software will help in shortening the development cycle and reducing the research and development cost of smart meters and will become a useful tool in achieving the reliability growth of smart meters.
Keywords :
automatic meter reading; computerised instrumentation; cost reduction; electronic data interchange; failure analysis; power meters; reliability; research and development; software engineering; MTTF; Telcordia SN29500; Telcordia SR-332; component level failure; data interface module; database management module; development cycle; failure rate; help module; reliability indicators; reliability prediction module; reliability prediction software design; reliability prediction software development; research and development cost reduction; results output module; smart meters; system level failure; unit level failure; Databases; Predictive models; Reliability engineering; Software; Software reliability; Stress; VC++; database; reliability prediction; smart meter; stress analysis method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
Type :
conf
DOI :
10.1109/ICQR2MSE.2012.6246308
Filename :
6246308
Link To Document :
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