Residual life prediction for marine diesel turbocharger based on Wiener process

ObjectivesIn view of the difficulty of collecting the full life cycle performance degradation data of a marine diesel turbocharger, a life prediction model based on the Weiner process is proposed to predict the residual life of the turbocharger. MethodsFirst, the K-Means model is used to cluster the...

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Main Authors: Siheng ZHAO, Hang ZHOU, Shaowei ZHOU
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2022-12-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
Online Access:http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.02666
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author Siheng ZHAO
Hang ZHOU
Shaowei ZHOU
author_facet Siheng ZHAO
Hang ZHOU
Shaowei ZHOU
author_sort Siheng ZHAO
collection DOAJ
description ObjectivesIn view of the difficulty of collecting the full life cycle performance degradation data of a marine diesel turbocharger, a life prediction model based on the Weiner process is proposed to predict the residual life of the turbocharger. MethodsFirst, the K-Means model is used to cluster the actual operating conditions of the turbocharger and extract the typical operating condition data, then the Bayesian change-point detection model is used to identify the defect points of the turbocharger, and finally, the residual life of a certain type of turbocharger is predicted by the Weiner process degradation model. ResultsThe results prove that the proposed method can predict the residual lifetime of the turbocharger without the historical degradation data of similar equipment. Conclusions The method proposed herein is valuable for marine diesel turbochargers without fault samples.
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spelling doaj.art-4a5b1b1a4f1b4dd19071df26ea5d01b62023-01-06T08:17:13ZengEditorial Office of Chinese Journal of Ship ResearchZhongguo Jianchuan Yanjiu1673-31852022-12-0117612613210.19693/j.issn.1673-3185.02666ZG2666Residual life prediction for marine diesel turbocharger based on Wiener processSiheng ZHAO0Hang ZHOU1Shaowei ZHOU2Shanghai Marine Diesel Engine Research Institute, Shanghai 200090, ChinaShanghai Marine Diesel Engine Research Institute, Shanghai 200090, ChinaChina Ship Development and Design Center, Wuhan 430064, ChinaObjectivesIn view of the difficulty of collecting the full life cycle performance degradation data of a marine diesel turbocharger, a life prediction model based on the Weiner process is proposed to predict the residual life of the turbocharger. MethodsFirst, the K-Means model is used to cluster the actual operating conditions of the turbocharger and extract the typical operating condition data, then the Bayesian change-point detection model is used to identify the defect points of the turbocharger, and finally, the residual life of a certain type of turbocharger is predicted by the Weiner process degradation model. ResultsThe results prove that the proposed method can predict the residual lifetime of the turbocharger without the historical degradation data of similar equipment. Conclusions The method proposed herein is valuable for marine diesel turbochargers without fault samples.http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.02666marine dieselturbochargerlife predictionwiener processchange-point detection
spellingShingle Siheng ZHAO
Hang ZHOU
Shaowei ZHOU
Residual life prediction for marine diesel turbocharger based on Wiener process
Zhongguo Jianchuan Yanjiu
marine diesel
turbocharger
life prediction
wiener process
change-point detection
title Residual life prediction for marine diesel turbocharger based on Wiener process
title_full Residual life prediction for marine diesel turbocharger based on Wiener process
title_fullStr Residual life prediction for marine diesel turbocharger based on Wiener process
title_full_unstemmed Residual life prediction for marine diesel turbocharger based on Wiener process
title_short Residual life prediction for marine diesel turbocharger based on Wiener process
title_sort residual life prediction for marine diesel turbocharger based on wiener process
topic marine diesel
turbocharger
life prediction
wiener process
change-point detection
url http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.02666
work_keys_str_mv AT sihengzhao residuallifepredictionformarinedieselturbochargerbasedonwienerprocess
AT hangzhou residuallifepredictionformarinedieselturbochargerbasedonwienerprocess
AT shaoweizhou residuallifepredictionformarinedieselturbochargerbasedonwienerprocess