TSViT: A Time Series Vision Transformer for Fault Diagnosis of Rotating Machinery

Efficient and accurate fault diagnosis of rotating machinery is extremely important. Fault diagnosis methods using vibration signals based on convolutional neural networks (CNNs) have become increasingly mature. They often struggle with capturing the temporal dynamics of vibration signals. To overco...

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Xehetasun bibliografikoak

Egile Nagusiak:	Shouhua Zhang, Jiehan Zhou, Xue Ma, Susanna Pirttikangas, Chunsheng Yang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2024-11-01
Saila:	Applied Sciences
Gaiak:	vision transformer fault diagnosis rotating machinery deep learning
Sarrera elektronikoa:	https://www.mdpi.com/2076-3417/14/23/10781
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