A Dynamic Spatial-Temporal Subgraph Convolutional Network for Noncontact Fault Diagnosis

Voiceprint recognition based on deep learning (DL) is a promising method for intelligent fault diagnosis in rotating machinery, as it overcomes the limitations of vibration measurement by employing noncontact technique. However, the traditional voiceprint-based methods struggle to capture the spatia...

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Vydané v:	IEEE transactions on instrumentation and measurement Ročník 74; s. 1 - 11
Hlavní autori:	Cao, Yu, Chen, Yongyi, Zhang, Dan, Guo, Fanghong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Artificial neural networks Asynchronous motors Bearing Convolution Correlation dynamic edges Fault diagnosis Feature extraction graph convolutional network (GCN) Graph convolutional networks Graph theory Graphical representations Heuristic algorithms Nearest neighbor methods noncontact fault diagnosis Rotating machinery spatial–temporal subgraph Spectrogram Vibration measurement Vibrations
ISSN:	0018-9456, 1557-9662
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