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     Research Journal of Applied Sciences, Engineering and Technology


Life Prediction of DC Motor using Time Series Analysis based on Accelerated Degradation Testing

1Li Wang, 1Zaiwen Liu, 1Hong Xue and 2Bo Wan
1School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
2School of Reliability and System Engineering, Beihang University, Beijing 100191, China
Research Journal of Applied Sciences, Engineering and Technology  2013  24:4553-4558
http://dx.doi.org/10.19026/rjaset.6.3466  |  © The Author(s) 2013
Received: November 08, 2012  |  Accepted: January 23, 2013  |  Published: December 25, 2013

Abstract

This study presents a method of life prediction for DC motor using time series modeling procedure based on DC motor accelerated degradation testing data. DC motor accelerated degradation data are treated as time series and stochastic process are utilized to describe the degradation process for life prediction. An accelerated degradation test is processed for DC motor until they failed and the accelerated degradation data are collected for life prediction. A comparison between the predicted lifetime and the real lifetime of DC motors is processed and the results show that the life prediction of DC motors using time series analysis is effective.

Keywords:

Accelerated degradation testing, DC motor, life prediction, time series,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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