Integrating spatiotemperporal features into fault prediction using a multi-dimensional method

This study proposes a method to validate multidimensional fault prediction models. It integrates vibration and current data, analyzes spatiotemporal characteristics, and uses support vector machines and random forest algorithms to analyze fault characteristics. The short-time Fourier transform is us...

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Detalhes bibliográficos

Principais autores:	Chun-Yi Lin, Yu-Chuan Tseng, Wu-Sung Yao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-09-01
Colecção:	Results in Engineering
Assuntos:	Fault prediction Support vector machine Random forest Short-time Fourier transform Convolutional network
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2590123025019279
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