Research Article | OPEN ACCESS
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
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,
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.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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