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Open AccessArticle

Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear Regression

by Caixia Gao 1, Ke Lv 1, Tong Wu 2, Jikai Si 3,* and Yihua Hu 4
1
School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China
2
Sany Truck Lifting Machinery Co., Ltd, Changsha 410600, China
3
College of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China
4
Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3BX, UK
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(9), 923; https://doi.org/10.3390/electronics8090923
Received: 4 August 2019 / Revised: 21 August 2019 / Accepted: 21 August 2019 / Published: 22 August 2019
(This article belongs to the Section Systems & Control Engineering)
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. View Full-Text
Keywords: rolling bearing; residual life prediction; start prediction time; linear regression rolling bearing; residual life prediction; start prediction time; linear regression
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Gao, C.; Lv, K.; Wu, T.; Si, J.; Hu, Y. Method for Determining Starting Point of Rolling Bearing Life Prediction Based on Linear Regression. Electronics 2019, 8, 923.

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