Data-Driven Fault Diagnosis for Rolling Bearing Based on DIT-FFT and XGBoost

Data-Driven Fault Diagnosis for Rolling Bearing Based on DIT-FFT and XGBoost

The rolling bearing is an extremely important basic mechanical device. The diagnosis of its fault play an important role in the safe and stable operation of the mechanical system. This study proposed an approach, based on the Fast Fourier Transform (FFT) with Decimation-In-Time (DIT) and XGBoost alg...

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Bibliographic Details
Main Authors:	Chuan Xiang, Zejun Ren, Pengfei Shi, Hongge Zhao
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2021-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2021/4941966

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