Computational order tracking method based on clustering, iterative extended spline fitting
Year: 2025
Type: conference-paper
Abstract: Aiming at the problem of adaptive speed fitting under non-stationary speed conditions of rotating machinery, an adaptive calculation order tracking method based on time-frequency graph feature enhancement and clustering iterative extended spline fitting (CIESF) algorithm is proposed. Firstly, the two-dimensional wavelet transform is used to enhance the time-frequency graph. Then, binarization processing and edge detection are carried out to strengthen the main curve features. Next, the main order components are adaptively extracted through edge point clustering. Spline curve fitting is performed. Finally, multiple iterations are conducted to achieve speed curve fitting. The accuracy of this method is verified through the analysis of time-varying speed vibration signals of rolling bearings.
Authors: XuKai Ren, Qingpeng Bi, Peng Wang, Huanwei Yu, Xiyong Du
Institution: Tianjin University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411567802