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

• DOI: 10.3390/electronics8090923
• Publication Date: 2019-08-23T14:15:07Z
• Authors: Caixia Gao; Ke Lv; Tong Wu; Jikai Si; Yihua Hu
• Keywords: Root mean square; Linear prediction; SIGNAL (programming language)

Aimed at addressing the problem that subjective selection of start prediction time (SPT) in rolling bearing remaining useful life (RUL) will lead to excessive noise signal, a linear-regression-based SPT point determination was proposed. The sliding window linear regression method used establish windows root mean square (RMS) range obtain RMS gradient domain. threshold for set, and continuous trigger mechanism determine used. experimental results show can adaptively improve accuracy prediction.