TY - GEN
T1 - Clustering algorithm-based control charts
AU - Kang, Ji Hoon
AU - Kim, Seoung Bum
PY - 2011
Y1 - 2011
N2 - Hotelling's T2 control chart is widely used as a representative method to efficiently monitor multivariate processes. However, they have some parametric restrictions that may not be applicable for modern manufacturing systems complicated. In the present study we propose a clustering algorithm-based control chart that overcomes the limitation posed by the parametric assumption in existing control chart methods. The simulation results showed that the proposed clustering algorithm-based control charts outperformed Hotelling's T2 control charts especially when process data follow the nonnormal distributions.
AB - Hotelling's T2 control chart is widely used as a representative method to efficiently monitor multivariate processes. However, they have some parametric restrictions that may not be applicable for modern manufacturing systems complicated. In the present study we propose a clustering algorithm-based control chart that overcomes the limitation posed by the parametric assumption in existing control chart methods. The simulation results showed that the proposed clustering algorithm-based control charts outperformed Hotelling's T2 control charts especially when process data follow the nonnormal distributions.
KW - Bootstrap method
KW - Hotelling's T One class classification
KW - Multivariate control chart
KW - k-means data description
KW - k-means-based T
UR - http://www.scopus.com/inward/record.url?scp=80052883903&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052883903&partnerID=8YFLogxK
U2 - 10.1109/ISI.2011.5984096
DO - 10.1109/ISI.2011.5984096
M3 - Conference contribution
AN - SCOPUS:80052883903
SN - 9781457700828
T3 - Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
SP - 272
EP - 277
BT - Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
T2 - 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
Y2 - 10 July 2011 through 12 July 2011
ER -