Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner

The remaining useful life (RUL) prediction of self-lubricating spherical plain bearings is essential for replacement decision-making and the reliability of high-end equipment. The high-frequency swing self-lubricating liner (HSLL) is the key component of self-lubricating spherical plain bearings und...

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Main Authors: Xiuhong Hao, Shuqiang Wang, Mengfan Chen, Deng Pan
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2021/8843374
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author Xiuhong Hao
Shuqiang Wang
Mengfan Chen
Deng Pan
author_facet Xiuhong Hao
Shuqiang Wang
Mengfan Chen
Deng Pan
author_sort Xiuhong Hao
collection DOAJ
description The remaining useful life (RUL) prediction of self-lubricating spherical plain bearings is essential for replacement decision-making and the reliability of high-end equipment. The high-frequency swing self-lubricating liner (HSLL) is the key component of self-lubricating spherical plain bearings under high-frequency oscillation conditions. In this study, a RUL prediction method was proposed based on the Wiener process and grey system theory. First, the predictive processing of the wear depth was carried out using the grey model GM(1,1) to reduce the randomness and enhance the inherent regularity of the life test data. A degradation process model was established and the RUL was predicted online with the model parameter estimates based on the Bayesian updating strategy. Finally, examples were provided to elaborate the RUL prediction of the HSLL. The results show that the prediction accuracy of the proposed RUL prediction model is higher than that of the simple Wiener process during the entire residual life cycle of the HSLL. Based on the original wear data, the prediction accuracy of the RUL exhibited a strong dependence on prior samples and was relatively low owing to the larger deviation of the wear rate between the test sample and prior samples.
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institution Kabale University
issn 1070-9622
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-032e516f4f3f46109aa793a1bfec683b2025-02-03T01:05:05ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/88433748843374Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating LinerXiuhong Hao0Shuqiang Wang1Mengfan Chen2Deng Pan3School of Mechanical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, ChinaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, ChinaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, ChinaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, ChinaThe remaining useful life (RUL) prediction of self-lubricating spherical plain bearings is essential for replacement decision-making and the reliability of high-end equipment. The high-frequency swing self-lubricating liner (HSLL) is the key component of self-lubricating spherical plain bearings under high-frequency oscillation conditions. In this study, a RUL prediction method was proposed based on the Wiener process and grey system theory. First, the predictive processing of the wear depth was carried out using the grey model GM(1,1) to reduce the randomness and enhance the inherent regularity of the life test data. A degradation process model was established and the RUL was predicted online with the model parameter estimates based on the Bayesian updating strategy. Finally, examples were provided to elaborate the RUL prediction of the HSLL. The results show that the prediction accuracy of the proposed RUL prediction model is higher than that of the simple Wiener process during the entire residual life cycle of the HSLL. Based on the original wear data, the prediction accuracy of the RUL exhibited a strong dependence on prior samples and was relatively low owing to the larger deviation of the wear rate between the test sample and prior samples.http://dx.doi.org/10.1155/2021/8843374
spellingShingle Xiuhong Hao
Shuqiang Wang
Mengfan Chen
Deng Pan
Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner
Shock and Vibration
title Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner
title_full Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner
title_fullStr Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner
title_full_unstemmed Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner
title_short Remaining Useful Life Prediction of High-Frequency Swing Self-Lubricating Liner
title_sort remaining useful life prediction of high frequency swing self lubricating liner
url http://dx.doi.org/10.1155/2021/8843374
work_keys_str_mv AT xiuhonghao remainingusefullifepredictionofhighfrequencyswingselflubricatingliner
AT shuqiangwang remainingusefullifepredictionofhighfrequencyswingselflubricatingliner
AT mengfanchen remainingusefullifepredictionofhighfrequencyswingselflubricatingliner
AT dengpan remainingusefullifepredictionofhighfrequencyswingselflubricatingliner