Application of DTF method in disturbance propagation analysis of complex chemical process

Ke Li; Lei Xie; Xiaocheng Ge; Xu Wang

doi:10.1109/ICNSC.2014.6819708

Application of DTF method in disturbance propagation analysis of complex chemical process

Ke Li, Lei Xie, Xiaocheng Ge, Xu Wang

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

1 Citation (Scopus)

Abstract

Oscillations usually propagate to other loops with the delivery of mass and energy, then cause plant-wide oscillation and affect the performance of whole control system in complex chemical process. DTF (Directed Transfer Function) method, which has been widely used to analyze information flow in the brain structures in biomedical area, is applied to the disturbance propagation analysis of complex chemical process in this paper. Based on MVAR (Multivariate Autoregressive) model, DTF can analyze the multivariate causality simultaneously and calculate the causality quantitatively. Based on the DTF value, one can draw the causality graph, get the disturbance propagation path and finally locate fault sources. The results of simulation on TEP (Tennessee Eastman Process) are presented to illustrate the effectiveness of the proposed approach.

Original language	English
Title of host publication	Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
Publisher	IEEE Computer Society
Pages	685-689
Number of pages	5
ISBN (Print)	9781479931064
DOIs	https://doi.org/10.1109/ICNSC.2014.6819708
Publication status	Published - 2014
Externally published	Yes
Event	11th International Conference on Networking, Sensing and Control - Miami, United States Duration: 7 Apr 2014 → 9 Apr 2014

Conference

Conference	11th International Conference on Networking, Sensing and Control
Abbreviated title	ICNSC 2014
Country/Territory	United States
City	Miami
Period	7/04/14 → 9/04/14

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10.1109/ICNSC.2014.6819708Licence: Other

Cite this

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title = "Application of DTF method in disturbance propagation analysis of complex chemical process",

abstract = "Oscillations usually propagate to other loops with the delivery of mass and energy, then cause plant-wide oscillation and affect the performance of whole control system in complex chemical process. DTF (Directed Transfer Function) method, which has been widely used to analyze information flow in the brain structures in biomedical area, is applied to the disturbance propagation analysis of complex chemical process in this paper. Based on MVAR (Multivariate Autoregressive) model, DTF can analyze the multivariate causality simultaneously and calculate the causality quantitatively. Based on the DTF value, one can draw the causality graph, get the disturbance propagation path and finally locate fault sources. The results of simulation on TEP (Tennessee Eastman Process) are presented to illustrate the effectiveness of the proposed approach.",

keywords = "Causality, Disturbance propagation, DTF, TEP",

author = "Ke Li and Lei Xie and Xiaocheng Ge and Xu Wang",

note = "No record of this in Eprints. HN 24/11/2017; 11th International Conference on Networking, Sensing and Control, ICNSC 2014 ; Conference date: 07-04-2014 Through 09-04-2014",

year = "2014",

doi = "10.1109/ICNSC.2014.6819708",

language = "English",

isbn = "9781479931064",

pages = "685--689",

booktitle = "Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014",

publisher = "IEEE Computer Society",

address = "United States",

}

Li, K, Xie, L, Ge, X & Wang, X 2014, Application of DTF method in disturbance propagation analysis of complex chemical process. in Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014., 6819708, IEEE Computer Society, pp. 685-689, 11th International Conference on Networking, Sensing and Control, Miami, Florida, United States, 7/04/14. https://doi.org/10.1109/ICNSC.2014.6819708

Application of DTF method in disturbance propagation analysis of complex chemical process. / Li, Ke; Xie, Lei; Ge, Xiaocheng et al.

Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014. IEEE Computer Society, 2014. p. 685-689 6819708.

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

TY - GEN

T1 - Application of DTF method in disturbance propagation analysis of complex chemical process

AU - Li, Ke

AU - Xie, Lei

AU - Ge, Xiaocheng

AU - Wang, Xu

N1 - No record of this in Eprints. HN 24/11/2017

PY - 2014

Y1 - 2014

N2 - Oscillations usually propagate to other loops with the delivery of mass and energy, then cause plant-wide oscillation and affect the performance of whole control system in complex chemical process. DTF (Directed Transfer Function) method, which has been widely used to analyze information flow in the brain structures in biomedical area, is applied to the disturbance propagation analysis of complex chemical process in this paper. Based on MVAR (Multivariate Autoregressive) model, DTF can analyze the multivariate causality simultaneously and calculate the causality quantitatively. Based on the DTF value, one can draw the causality graph, get the disturbance propagation path and finally locate fault sources. The results of simulation on TEP (Tennessee Eastman Process) are presented to illustrate the effectiveness of the proposed approach.

AB - Oscillations usually propagate to other loops with the delivery of mass and energy, then cause plant-wide oscillation and affect the performance of whole control system in complex chemical process. DTF (Directed Transfer Function) method, which has been widely used to analyze information flow in the brain structures in biomedical area, is applied to the disturbance propagation analysis of complex chemical process in this paper. Based on MVAR (Multivariate Autoregressive) model, DTF can analyze the multivariate causality simultaneously and calculate the causality quantitatively. Based on the DTF value, one can draw the causality graph, get the disturbance propagation path and finally locate fault sources. The results of simulation on TEP (Tennessee Eastman Process) are presented to illustrate the effectiveness of the proposed approach.

KW - Causality

KW - Disturbance propagation

KW - DTF

KW - TEP

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U2 - 10.1109/ICNSC.2014.6819708

DO - 10.1109/ICNSC.2014.6819708

M3 - Conference contribution

AN - SCOPUS:84902381797

SN - 9781479931064

SP - 685

EP - 689

BT - Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

PB - IEEE Computer Society

T2 - 11th International Conference on Networking, Sensing and Control

Y2 - 7 April 2014 through 9 April 2014

ER -

Application of DTF method in disturbance propagation analysis of complex chemical process

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