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, Mahardhika Pratama, Andri Ashfahani, Edward Yapp Kien Yee
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2021-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2021/3005276

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