Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ⁎

H. Luo; K. Li; X. Song; S. Yin; S. X. Ding; L. Li; X. Yang

doi:10.1016/j.ifacol.2018.09.603

Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ^⁎

H. Luo
, K. Li
, X. Song
, S. Yin
, S. X. Ding
, L. Li
, X. Yang

School of Astronautics, Harbin Institute of Technology
University of Duisburg-Essen
University of Science and Technology Beijing

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

This paper presents the research on the closed-loop data-driven design of the process monitoring system. The core of the study is the closed-loop identification of the data-driven stable kernel representation (SKR) of the system. The proposed method takes into account the effects of feedback controller and the noise information in the closed-loop is directly extracted from a single LQ decomposition. The main results and the proposed methods are verified and demonstrated through randomly generated numerical examples.

Original language	English
Pages (from-to)	367-372
Number of pages	6
Journal	10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018: Warsaw, Poland, 29-31 August 2018
Volume	51
Issue number	24
DOIs	https://doi.org/10.1016/j.ifacol.2018.09.603
State	Published - 2018
Externally published	Yes

Keywords

Data-driven
closed-loop identification
fault detection
process monitoring
stable kernel representation (SKR)
subspace method

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10.1016/j.ifacol.2018.09.603

Cite this

Luo, H., Li, K., Song, X., Yin, S., Ding, S. X., Li, L., & Yang, X. (2018). Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ^⁎ 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018: Warsaw, Poland, 29-31 August 2018, 51(24), 367-372. https://doi.org/10.1016/j.ifacol.2018.09.603

@article{081eb19872fc4fa4a389e1564ca486b5,

title = "Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ⁎ ",

abstract = "This paper presents the research on the closed-loop data-driven design of the process monitoring system. The core of the study is the closed-loop identification of the data-driven stable kernel representation (SKR) of the system. The proposed method takes into account the effects of feedback controller and the noise information in the closed-loop is directly extracted from a single LQ decomposition. The main results and the proposed methods are verified and demonstrated through randomly generated numerical examples.",

keywords = "Data-driven, closed-loop identification, fault detection, process monitoring, stable kernel representation (SKR), subspace method",

author = "H. Luo and K. Li and X. Song and S. Yin and Ding, \{S. X.\} and L. Li and X. Yang",

note = "Publisher Copyright: {\textcopyright} 2018",

year = "2018",

doi = "10.1016/j.ifacol.2018.09.603",

language = "英语",

volume = "51",

pages = "367--372",

journal = "10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018: Warsaw, Poland, 29-31 August 2018",

issn = "2405-8963",

number = "24",

}

Luo, H, Li, K, Song, X, Yin, S, Ding, SX, Li, L & Yang, X 2018, 'Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ^⁎ ', 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018: Warsaw, Poland, 29-31 August 2018, vol. 51, no. 24, pp. 367-372. https://doi.org/10.1016/j.ifacol.2018.09.603

Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ^⁎ . / Luo, H.; Li, K.; Song, X. et al.
In: 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018: Warsaw, Poland, 29-31 August 2018, Vol. 51, No. 24, 2018, p. 367-372.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ⁎

AU - Luo, H.

AU - Li, K.

AU - Song, X.

AU - Yin, S.

AU - Ding, S. X.

AU - Li, L.

AU - Yang, X.

PY - 2018

Y1 - 2018

N2 - This paper presents the research on the closed-loop data-driven design of the process monitoring system. The core of the study is the closed-loop identification of the data-driven stable kernel representation (SKR) of the system. The proposed method takes into account the effects of feedback controller and the noise information in the closed-loop is directly extracted from a single LQ decomposition. The main results and the proposed methods are verified and demonstrated through randomly generated numerical examples.

AB - This paper presents the research on the closed-loop data-driven design of the process monitoring system. The core of the study is the closed-loop identification of the data-driven stable kernel representation (SKR) of the system. The proposed method takes into account the effects of feedback controller and the noise information in the closed-loop is directly extracted from a single LQ decomposition. The main results and the proposed methods are verified and demonstrated through randomly generated numerical examples.

KW - Data-driven

KW - closed-loop identification

KW - fault detection

KW - process monitoring

KW - stable kernel representation (SKR)

KW - subspace method

UR - https://www.scopus.com/pages/publications/85054573397

U2 - 10.1016/j.ifacol.2018.09.603

DO - 10.1016/j.ifacol.2018.09.603

M3 - 文章

AN - SCOPUS:85054573397

SN - 2405-8963

VL - 51

SP - 367

EP - 372

JO - 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018: Warsaw, Poland, 29-31 August 2018

JF - 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2018: Warsaw, Poland, 29-31 August 2018

IS - 24

ER -

Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ^⁎

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Keywords

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