Prediction of Gear Life based on Unbiased Grey Markov Combined Model

For the difficulty of predicting the life of gear,an unbiased Grey GM(1,1)model is established based on the original data,and it is modified by using residual error model.The development trend of gear life is analyzed,the predicting accuracy is improved by introducing Markov optimization based on un...

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Main Authors: Duan Mingde, Wei Baolei, You Yanwei
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2015-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.02.009
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author Duan Mingde
Wei Baolei
You Yanwei
author_facet Duan Mingde
Wei Baolei
You Yanwei
author_sort Duan Mingde
collection DOAJ
description For the difficulty of predicting the life of gear,an unbiased Grey GM(1,1)model is established based on the original data,and it is modified by using residual error model.The development trend of gear life is analyzed,the predicting accuracy is improved by introducing Markov optimization based on unbiased Grey GM(1,1)modification model.Comparing with the predicted value and the actual value,the predicting accuracy of gear life is improved from 87.06%to 90.09%.The result shows that the combined model has a better predicting precision and practicality within a period in the case of few data and poor information,it provides an available method for predicting the life of gear.
format Article
id doaj-art-711ccfd99c0e4fbeaa76ef030ca8b2b8
institution Kabale University
issn 1004-2539
language zho
publishDate 2015-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-711ccfd99c0e4fbeaa76ef030ca8b2b82025-01-10T14:10:09ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392015-01-0139161829915412Prediction of Gear Life based on Unbiased Grey Markov Combined ModelDuan MingdeWei BaoleiYou YanweiFor the difficulty of predicting the life of gear,an unbiased Grey GM(1,1)model is established based on the original data,and it is modified by using residual error model.The development trend of gear life is analyzed,the predicting accuracy is improved by introducing Markov optimization based on unbiased Grey GM(1,1)modification model.Comparing with the predicted value and the actual value,the predicting accuracy of gear life is improved from 87.06%to 90.09%.The result shows that the combined model has a better predicting precision and practicality within a period in the case of few data and poor information,it provides an available method for predicting the life of gear.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.02.009Markov optimizationResidual errorGearLife prediction
spellingShingle Duan Mingde
Wei Baolei
You Yanwei
Prediction of Gear Life based on Unbiased Grey Markov Combined Model
Jixie chuandong
Markov optimization
Residual error
Gear
Life prediction
title Prediction of Gear Life based on Unbiased Grey Markov Combined Model
title_full Prediction of Gear Life based on Unbiased Grey Markov Combined Model
title_fullStr Prediction of Gear Life based on Unbiased Grey Markov Combined Model
title_full_unstemmed Prediction of Gear Life based on Unbiased Grey Markov Combined Model
title_short Prediction of Gear Life based on Unbiased Grey Markov Combined Model
title_sort prediction of gear life based on unbiased grey markov combined model
topic Markov optimization
Residual error
Gear
Life prediction
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.02.009
work_keys_str_mv AT duanmingde predictionofgearlifebasedonunbiasedgreymarkovcombinedmodel
AT weibaolei predictionofgearlifebasedonunbiasedgreymarkovcombinedmodel
AT youyanwei predictionofgearlifebasedonunbiasedgreymarkovcombinedmodel