Quality-Relevant Monitoring and Diagnosis with Dynamic Concurrent Projection to Latent Structures

Qiang Liu; S. Joe Qin; Tianyou Chai

doi:10.3182/20140824-6-za-1003.02329

Quality-Relevant Monitoring and Diagnosis with Dynamic Concurrent Projection to Latent Structures

Qiang Liu
, S. Joe Qin
, Tianyou Chai

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

19 Citations (Scopus)

Abstract

In this paper, a data-driven dynamic concurrent projection to latent structures (DCPLS) approach is proposed for quality-relevant fault diagnosis of dynamic processes. First, a novel DCPLS algorithm is proposed for dynamic modeling which captures the dynamic correlations between quality variables and process variables. Quality-specific variations, process-specific variations, and quality-process covariations of dynamic processes are monitored respectively. Secondly, a multi-block extension of DCPLS is designed to compute the contributions according to block partition of the lagged variables, in order to help localize faults. Finally, the application results on strip-thickness relevant fault diagnosis for a practical cold rolling continuous annealing process (CAP) demonstrate the effectiveness of the proposed methods.

Original language	English
Title of host publication	Proceedings of the 19th World Congress The International Federation of Automatic Control
Editors	Edward Boje, Xiaohua Xia
Publisher	International Federation of Automatic Control (IFAC)
Pages	2740-2745
ISBN (Print)	978-3-902823-62-5
DOIs	https://doi.org/10.3182/20140824-6-za-1003.02329
Publication status	Published - Aug 2014
Externally published	Yes
Event	19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa Duration: 24 Aug 2014 → 29 Aug 2014 https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/47/issue/3

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
ISSN (Print)	1474-6670

Conference

Conference	19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
Place	South Africa
City	Cape Town
Period	24/08/14 → 29/08/14
Internet address	https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/47/issue/3

Research Keywords

Dynamic concurrent projection to latent structures
Dynamic process modeling
Fault diagnosis

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10.3182/20140824-6-za-1003.02329

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Liu, Q., Qin, S. J., & Chai, T. (2014). Quality-Relevant Monitoring and Diagnosis with Dynamic Concurrent Projection to Latent Structures. In E. Boje, & X. Xia (Eds.), Proceedings of the 19th World Congress The International Federation of Automatic Control (pp. 2740-2745). (IFAC Proceedings Volumes (IFAC-PapersOnline)). International Federation of Automatic Control (IFAC). https://doi.org/10.3182/20140824-6-za-1003.02329

Liu, Qiang ; Qin, S. Joe ; Chai, Tianyou. / Quality-Relevant Monitoring and Diagnosis with Dynamic Concurrent Projection to Latent Structures. Proceedings of the 19th World Congress The International Federation of Automatic Control. editor / Edward Boje ; Xiaohua Xia. International Federation of Automatic Control (IFAC), 2014. pp. 2740-2745 (IFAC Proceedings Volumes (IFAC-PapersOnline)).

@inproceedings{03e28376fc9443ea873ea5652f430110,

title = "Quality-Relevant Monitoring and Diagnosis with Dynamic Concurrent Projection to Latent Structures",

abstract = "In this paper, a data-driven dynamic concurrent projection to latent structures (DCPLS) approach is proposed for quality-relevant fault diagnosis of dynamic processes. First, a novel DCPLS algorithm is proposed for dynamic modeling which captures the dynamic correlations between quality variables and process variables. Quality-specific variations, process-specific variations, and quality-process covariations of dynamic processes are monitored respectively. Secondly, a multi-block extension of DCPLS is designed to compute the contributions according to block partition of the lagged variables, in order to help localize faults. Finally, the application results on strip-thickness relevant fault diagnosis for a practical cold rolling continuous annealing process (CAP) demonstrate the effectiveness of the proposed methods.",

keywords = "Dynamic concurrent projection to latent structures, Dynamic process modeling, Fault diagnosis",

author = "Qiang Liu and Qin, \{S. Joe\} and Tianyou Chai",

year = "2014",

month = aug,

doi = "10.3182/20140824-6-za-1003.02329",

language = "English",

isbn = "978-3-902823-62-5",

series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

publisher = "International Federation of Automatic Control (IFAC)",

pages = "2740--2745",

editor = "Edward Boje and Xiaohua Xia",

booktitle = "Proceedings of the 19th World Congress The International Federation of Automatic Control",

note = "19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 ; Conference date: 24-08-2014 Through 29-08-2014",

url = "https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/47/issue/3",

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Liu, Q, Qin, SJ & Chai, T 2014, Quality-Relevant Monitoring and Diagnosis with Dynamic Concurrent Projection to Latent Structures. in E Boje & X Xia (eds), Proceedings of the 19th World Congress The International Federation of Automatic Control. IFAC Proceedings Volumes (IFAC-PapersOnline), International Federation of Automatic Control (IFAC), pp. 2740-2745, 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014, Cape Town, South Africa, 24/08/14. https://doi.org/10.3182/20140824-6-za-1003.02329

Quality-Relevant Monitoring and Diagnosis with Dynamic Concurrent Projection to Latent Structures. / Liu, Qiang; Qin, S. Joe; Chai, Tianyou.
Proceedings of the 19th World Congress The International Federation of Automatic Control. ed. / Edward Boje; Xiaohua Xia. International Federation of Automatic Control (IFAC), 2014. p. 2740-2745 (IFAC Proceedings Volumes (IFAC-PapersOnline)).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Quality-Relevant Monitoring and Diagnosis with Dynamic Concurrent Projection to Latent Structures

AU - Liu, Qiang

AU - Qin, S. Joe

AU - Chai, Tianyou

PY - 2014/8

Y1 - 2014/8

N2 - In this paper, a data-driven dynamic concurrent projection to latent structures (DCPLS) approach is proposed for quality-relevant fault diagnosis of dynamic processes. First, a novel DCPLS algorithm is proposed for dynamic modeling which captures the dynamic correlations between quality variables and process variables. Quality-specific variations, process-specific variations, and quality-process covariations of dynamic processes are monitored respectively. Secondly, a multi-block extension of DCPLS is designed to compute the contributions according to block partition of the lagged variables, in order to help localize faults. Finally, the application results on strip-thickness relevant fault diagnosis for a practical cold rolling continuous annealing process (CAP) demonstrate the effectiveness of the proposed methods.

AB - In this paper, a data-driven dynamic concurrent projection to latent structures (DCPLS) approach is proposed for quality-relevant fault diagnosis of dynamic processes. First, a novel DCPLS algorithm is proposed for dynamic modeling which captures the dynamic correlations between quality variables and process variables. Quality-specific variations, process-specific variations, and quality-process covariations of dynamic processes are monitored respectively. Secondly, a multi-block extension of DCPLS is designed to compute the contributions according to block partition of the lagged variables, in order to help localize faults. Finally, the application results on strip-thickness relevant fault diagnosis for a practical cold rolling continuous annealing process (CAP) demonstrate the effectiveness of the proposed methods.

KW - Dynamic concurrent projection to latent structures

KW - Dynamic process modeling

KW - Fault diagnosis

UR - https://www.scopus.com/pages/publications/84929743895

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84929743895&origin=recordpage

U2 - 10.3182/20140824-6-za-1003.02329

DO - 10.3182/20140824-6-za-1003.02329

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-3-902823-62-5

T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)

SP - 2740

EP - 2745

BT - Proceedings of the 19th World Congress The International Federation of Automatic Control

A2 - Boje, Edward

A2 - Xia, Xiaohua

PB - International Federation of Automatic Control (IFAC)

T2 - 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

Y2 - 24 August 2014 through 29 August 2014

ER -

Liu Q, Qin SJ, Chai T. Quality-Relevant Monitoring and Diagnosis with Dynamic Concurrent Projection to Latent Structures. In Boje E, Xia X, editors, Proceedings of the 19th World Congress The International Federation of Automatic Control. International Federation of Automatic Control (IFAC). 2014. p. 2740-2745. (IFAC Proceedings Volumes (IFAC-PapersOnline)). doi: 10.3182/20140824-6-za-1003.02329

Quality-Relevant Monitoring and Diagnosis with Dynamic Concurrent Projection to Latent Structures

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Research Keywords

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