Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 6, Issue: 24)
Article Information:

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

Li Wang, Zaiwen Liu, Hong Xue and Bo Wan
Corresponding Author:  Li Wang 

Key words:  Accelerated degradation testing, DC Motor, life prediction, time series, , ,
Vol. 6 , (24): 4553-4558
Submitted Accepted Published
November 08, 2012 January 23, 2013 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.
Abstract PDF HTML
  Cite this Reference:
Li Wang, Zaiwen Liu, Hong Xue and Bo Wan, 2013. Life Prediction of DC Motor using Time Series Analysis based on Accelerated Degradation Testing.  Research Journal of Applied Sciences, Engineering and Technology, 6(24): 4553-4558.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved