Study of the industrial control network reliability comprehensive model

Kang Du; Guangyan Zhao; Xiaodong Ma; Weiwei Hu

doi:10.1109/MEC.2013.6885062

Study of the industrial control network reliability comprehensive model

Kang Du
, Guangyan Zhao
, Xiaodong Ma
, Weiwei Hu^*

^*Corresponding author for this work

School of Reliability and Systems Engineering

Beihang University

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

Abstract

Industrial control network was a complex system which consisted of operating system, control software, failure diagnosis software, hardware and connecting device. In this paper, we studied how the typical industrial control network works and proposed a reliability comprehensive model. Based on the network device layer reliability model and topology layer reliability model, this model considered task demands, task profiles as well as human factors. This model was able to simulate the failure behavior and failure characteristics more realistically than ever. In the end, through a typical case we analyzed its specific application.

Original language	English
Title of host publication	Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	131-134
Number of pages	4
ISBN (Electronic)	9781479925650
DOIs	https://doi.org/10.1109/MEC.2013.6885062
State	Published - 2013
Event	2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 - Shenyang, China Duration: 20 Dec 2013 → 22 Dec 2013

Publication series

Name	Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013

Conference

Conference	2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013
Country/Territory	China
City	Shenyang
Period	20/12/13 → 22/12/13

Keywords

Industrial control network
Monte carlo
Reliability comprehensive model
Software and hardware modeling

Access to Document

10.1109/MEC.2013.6885062

Cite this

Du, K., Zhao, G., Ma, X., & Hu, W. (2013). Study of the industrial control network reliability comprehensive model. In Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 (pp. 131-134). Article 6885062 (Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEC.2013.6885062

Du, Kang ; Zhao, Guangyan ; Ma, Xiaodong et al. / Study of the industrial control network reliability comprehensive model. Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. pp. 131-134 (Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013).

@inproceedings{f50408be6cd542afb41ec368321a18ed,

title = "Study of the industrial control network reliability comprehensive model",

abstract = "Industrial control network was a complex system which consisted of operating system, control software, failure diagnosis software, hardware and connecting device. In this paper, we studied how the typical industrial control network works and proposed a reliability comprehensive model. Based on the network device layer reliability model and topology layer reliability model, this model considered task demands, task profiles as well as human factors. This model was able to simulate the failure behavior and failure characteristics more realistically than ever. In the end, through a typical case we analyzed its specific application.",

keywords = "Industrial control network, Monte carlo, Reliability comprehensive model, Software and hardware modeling",

author = "Kang Du and Guangyan Zhao and Xiaodong Ma and Weiwei Hu",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.; 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 ; Conference date: 20-12-2013 Through 22-12-2013",

year = "2013",

doi = "10.1109/MEC.2013.6885062",

language = "英语",

series = "Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "131--134",

booktitle = "Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013",

address = "美国",

}

Du, K, Zhao, G, Ma, X & Hu, W 2013, Study of the industrial control network reliability comprehensive model. in Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013., 6885062, Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013, Institute of Electrical and Electronics Engineers Inc., pp. 131-134, 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013, Shenyang, China, 20/12/13. https://doi.org/10.1109/MEC.2013.6885062

Study of the industrial control network reliability comprehensive model. / Du, Kang; Zhao, Guangyan; Ma, Xiaodong et al.
Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 131-134 6885062 (Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013).

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

TY - GEN

T1 - Study of the industrial control network reliability comprehensive model

AU - Du, Kang

AU - Zhao, Guangyan

AU - Ma, Xiaodong

AU - Hu, Weiwei

PY - 2013

Y1 - 2013

N2 - Industrial control network was a complex system which consisted of operating system, control software, failure diagnosis software, hardware and connecting device. In this paper, we studied how the typical industrial control network works and proposed a reliability comprehensive model. Based on the network device layer reliability model and topology layer reliability model, this model considered task demands, task profiles as well as human factors. This model was able to simulate the failure behavior and failure characteristics more realistically than ever. In the end, through a typical case we analyzed its specific application.

AB - Industrial control network was a complex system which consisted of operating system, control software, failure diagnosis software, hardware and connecting device. In this paper, we studied how the typical industrial control network works and proposed a reliability comprehensive model. Based on the network device layer reliability model and topology layer reliability model, this model considered task demands, task profiles as well as human factors. This model was able to simulate the failure behavior and failure characteristics more realistically than ever. In the end, through a typical case we analyzed its specific application.

KW - Industrial control network

KW - Monte carlo

KW - Reliability comprehensive model

KW - Software and hardware modeling

UR - https://www.scopus.com/pages/publications/84918592604

U2 - 10.1109/MEC.2013.6885062

DO - 10.1109/MEC.2013.6885062

M3 - 会议稿件

AN - SCOPUS:84918592604

T3 - Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013

SP - 131

EP - 134

BT - Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013

Y2 - 20 December 2013 through 22 December 2013

ER -

Du K, Zhao G, Ma X, Hu W. Study of the industrial control network reliability comprehensive model. In Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013. Institute of Electrical and Electronics Engineers Inc. 2013. p. 131-134. 6885062. (Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013). doi: 10.1109/MEC.2013.6885062

Study of the industrial control network reliability comprehensive model

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