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CFSPT: A lightweight cross-machine model for...
Journal article

CFSPT: A lightweight cross-machine model for compound fault diagnosis of machine-level motors

Abstract

The inevitable multi-component assembly errors and complex data collection sites lead to coupling fault information and global distribution differences among individuals, making fault diagnosis of machine-level motors more challenging. This article proposes a lightweight cross-machine model, namely, coarse-fine signal pruning transformer (CFSPT), specially for the compound fault diagnosis. Specifically, the unidirectional multi-scale …

Authors

He Y; Shen W

Journal

Information Fusion, Vol. 111, ,

Publisher

Elsevier

Publication Date

November 2024

DOI

10.1016/j.inffus.2024.102490

ISSN

1566-2535