Development of the Abnormal Tension Pattern Recognition Module for Twisted Yarn Based on Deep Learning Edge Computing

Development of the Abnormal Tension Pattern Recognition Module for Twisted Yarn Based on Deep Learning Edge Computing

This study aims to develop an artificial intelligence module for recognizing abnormal tension in textile weaving, The module can be used to address the time-consuming and inaccurate issues associated with traditional manual methods. Long short-term memory (LSTM) recurrent neural networks as the alg...

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Bibliographic Details
Main Authors: Chuan-Pin Lu, Yan-Long Huang, Po-Jen Lai
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2023-08-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
abnormal yarn tension
deep learning
edge computing
twisted yarn
long short-term memory
Online Access:https://ojs.imeti.org/index.php/IJETI/article/view/11158

Internet

https://ojs.imeti.org/index.php/IJETI/article/view/11158

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