Journal
ELECTRONICS
Volume 8, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/electronics8090923
Keywords
rolling bearing; residual life prediction; start prediction time; linear regression
Categories
Funding
- National Natural Science Foundation of China [51277054]
- Key Science and Technology National Program of Henan Province [192102210230]
- Key Scientific Research Projects of Higher Education Institutions in Henan Province [20A470004]
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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.
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