A Novel Method for Remaining Useful Life Prediction of Bearing Based on Spectrum Image Similarity Measures

Bo Wu, Bo Zhang, Wei Li and Fan Jiang
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Bo Wu: School of Transportation Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, China
Bo Zhang: School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China
Wei Li: School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China
Fan Jiang: School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China

Mathematics, 2022, vol. 10, issue 13, 1-10

Abstract: Accurately predicting the remaining useful life (RUL) of bearing by analyzing vibration signals is challenging and meaningful. To address this issue, a novel method based on spectrum image similarity is proposed in this paper. First, spectrum images for the whole lifecycle data of reference bearings are obtained by performing fast Fourier transformation (FFT). Second, the similarity is calculated between the current monitored data of operating bearing and run-to-failure images of reference bearings. Then, the weights of reference bearings are derived based on the similarity measures. Finally, the RUL of the operating bearing is estimated with the weighted average of the RULs of referenced bearings. The proposed method is demonstrated based on 2012 PHM Data Challenge Competition data, which shows its effectiveness and practicality.

Keywords: RUL prediction; spectrum image; similarity; weight (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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