Diagnosis of bivariate process variation using an integrated mspc-ann scheme
Monitoring and diagnosis of mean shifts in manufacturing processes become more challenging when involving two or more correlated variables. Unfortunately, most of the existing multivariate statistical process control schemes are only effective in rapid detection but suffer high false alarm. This is...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
ARPN Journal
2016
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/3819/1/AJ%202016%20%286%29.pdf http://eprints.uthm.edu.my/3819/ http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0616_4518.pdf |
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Institution: | Universiti Tun Hussein Onn Malaysia |
Language: | English |
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