Modal Parameter Identification of Electric Spindles Based on Covariance-Driven Stochastic Subspace

Electric spindles are a critical component of numerically controlled machine tools that directly affect machining precision and efficiency. The accurate identification of the modal parameters of an electric spindle is essential for optimizing design, enhancing dynamic performance, and facilitating f...

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Autores principales:	Wenhong Zhou, Liuzhou Zhong, Weimin Kang, Yuetong Xu, Congcong Luan, Jianzhong Fu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-11-01
Colección:	Machines
Materias:	electric spindle modal parameter identification stochastic subspace method fuzzy C-means clustering
Acceso en línea:	https://www.mdpi.com/2075-1702/12/11/774
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