About this document
Vibration 06 00014 by hsiuchungyu is a document available to read on EtoBox.
This review discusses the application of Deep Transfer Learning (DTL) models for industrial fault diagnosis using vibration and acoustic sensor data, emphasizing their potential to enhance defect detection and classification. It highlights the need for a comprehensive evaluation of DTL approaches in real-world applications, as existing studies primarily focus on algorithmic aspects. The paper also explores various vision-based methods and the integration of transfer learning algorithms into deep learning mo
- Author
- hsiuchungyu
- Language
- EN