Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear Regression
Aimed at addressing the problem that the subjective selection of start prediction time (SPT) in rolling bearing remaining useful life (RUL) prediction will lead to excessive noise in the prediction signal, a linear-regression-based SPT point determination was proposed. The sliding window linear regr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-08-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/8/9/923 |
| _version_ | 1797999599312437248 |
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| author | Caixia Gao Ke Lv Tong Wu Jikai Si Yihua Hu |
| author_facet | Caixia Gao Ke Lv Tong Wu Jikai Si Yihua Hu |
| author_sort | Caixia Gao |
| collection | DOAJ |
| description | Aimed at addressing the problem that the subjective selection of start prediction time (SPT) in rolling bearing remaining useful life (RUL) prediction will lead to excessive noise in the prediction signal, a linear-regression-based SPT point determination was proposed. The sliding window linear regression method was used to establish sliding windows in the root mean square (RMS) range to obtain the RMS gradient domain. The threshold for the RMS gradient was set, and the continuous trigger threshold mechanism to determine the SPT point was used. The experimental results show that the linear-regression-based method can adaptively determine the SPT point and improve the accuracy of life prediction. |
| first_indexed | 2024-04-11T11:07:16Z |
| format | Article |
| id | doaj.art-42e3c334071041ed9a0494814051c610 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-11T11:07:16Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-42e3c334071041ed9a0494814051c6102022-12-22T04:28:14ZengMDPI AGElectronics2079-92922019-08-018992310.3390/electronics8090923electronics8090923Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear RegressionCaixia Gao0Ke Lv1Tong Wu2Jikai Si3Yihua Hu4School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, ChinaSchool of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, ChinaSany Truck Lifting Machinery Co., Ltd, Changsha 410600, ChinaCollege of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, ChinaDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3BX, UKAimed at addressing the problem that the subjective selection of start prediction time (SPT) in rolling bearing remaining useful life (RUL) prediction will lead to excessive noise in the prediction signal, a linear-regression-based SPT point determination was proposed. The sliding window linear regression method was used to establish sliding windows in the root mean square (RMS) range to obtain the RMS gradient domain. The threshold for the RMS gradient was set, and the continuous trigger threshold mechanism to determine the SPT point was used. The experimental results show that the linear-regression-based method can adaptively determine the SPT point and improve the accuracy of life prediction.https://www.mdpi.com/2079-9292/8/9/923rolling bearingresidual life predictionstart prediction timelinear regression |
| spellingShingle | Caixia Gao Ke Lv Tong Wu Jikai Si Yihua Hu Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear Regression Electronics rolling bearing residual life prediction start prediction time linear regression |
| title | Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear Regression |
| title_full | Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear Regression |
| title_fullStr | Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear Regression |
| title_full_unstemmed | Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear Regression |
| title_short | Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear Regression |
| title_sort | method for determining starting point of rolling bearing life prediction based on linear regression |
| topic | rolling bearing residual life prediction start prediction time linear regression |
| url | https://www.mdpi.com/2079-9292/8/9/923 |
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