Online semisupervised learning approach for quality monitoring of complex manufacturing process

Online semisupervised learning approach for quality monitoring of complex manufacturing process

Data-driven quality monitoring is highly demanded in practice since it enables relieving manual quality inspection of the product quality. Conventional data-driven quality monitoring is constrained by its offline characteristic thus being unable to handle streaming nature of sensory data and nonstat...

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Bibliographic Details
Main Authors: Weng, Weiwei, Pratama, Mahardhika, Ashfahani, Andri, Yapp, Edward Kien Yee
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Prediction
E-Learning
Online Access:https://hdl.handle.net/10356/153757
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/153757

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