Clustering algorithm-based control charts

Ji Hoon Kang; Seoung Bum Kim

doi:10.1109/ISI.2011.5984096

Clustering algorithm-based control charts

Ji Hoon Kang, Seoung Bum Kim

School of Industrial Management Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
Pages	272-277
Number of pages	6
DOIs	https://doi.org/10.1109/ISI.2011.5984096
Publication status	Published - 2011
Event	2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 - Beijing, China Duration: 2011 Jul 10 → 2011 Jul 12

Publication series

Name	Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011

Other

Other	2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011
Country	China
City	Beijing
Period	11/7/10 → 11/7/12

Keywords

Bootstrap method
Hotelling's T One class classification
Multivariate control chart
k-means data description
k-means-based T

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

Access to Document

10.1109/ISI.2011.5984096

Fingerprint Dive into the research topics of 'Clustering algorithm-based control charts'. Together they form a unique fingerprint.

Cite this

Kang, J. H., & Kim, S. B. (2011). Clustering algorithm-based control charts. In Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 (pp. 272-277). [5984096] (Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011). https://doi.org/10.1109/ISI.2011.5984096

Clustering algorithm-based control charts. / Kang, Ji Hoon; Kim, Seoung Bum.

Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011. 2011. p. 272-277 5984096 (Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kang, JH & Kim, SB 2011, Clustering algorithm-based control charts. in Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011., 5984096, Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011, pp. 272-277, 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011, Beijing, China, 11/7/10. https://doi.org/10.1109/ISI.2011.5984096

@inproceedings{1d45dd3b31ee4439b1e86bb78b9b3782,

title = "Clustering algorithm-based control charts",

abstract = "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.",

keywords = "Bootstrap method, Hotelling's T One class classification, Multivariate control chart, k-means data description, k-means-based T",

author = "Kang, {Ji Hoon} and Kim, {Seoung Bum}",

year = "2011",

doi = "10.1109/ISI.2011.5984096",

language = "English",

isbn = "9781457700828",

series = "Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011",

pages = "272--277",

booktitle = "Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011",

note = "2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011 ; Conference date: 10-07-2011 Through 12-07-2011",

}

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 -