Analysis on the Influence Factors of Smart Meters Reliability Prediction

Jing Ji; Xing Zhe Hou; Juan Tian; Yi Wang; Fu Ping Zhao; Xiao Ming Cheng

doi:10.4028/www.scientific.net/AMM.602-605.862

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Analysis on the Influence Factors of Smart Meters...

Analysis on the Influence Factors of Smart Meters Reliability Prediction

Abstract:

Currently, parts stress method is the most suitable and practical method for smart meters reliability prediction. This paper establishes the components’ failure rate model, selects parameters based on SR-332 handbook, analyzes the major factors which affect the components and meters reliability prediction results, and proposes the improvement measure to enhance the reliability of smart meters.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

862-865

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.862

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Online since:

August 2014

Authors:

Jing Ji*, Xing Zhe Hou, Juan Tian, Yi Wang, Fu Ping Zhao, Xiao Ming Cheng

Keywords:

Influence Factor, Parts Stress Method, Reliability Prediction, Smart Meter

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* - Corresponding Author

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