Sequential window diagnoser for discrete-event systems under unreliable observations

Wen Chiao Lin; Humberto E. Garcia; David Thorsley; Tae-Sic Yoo

doi:10.1109/ALLERTON.2009.5394922

Sequential window diagnoser for discrete-event systems under unreliable observations

Wen Chiao Lin
, Humberto E. Garcia
, David Thorsley
, Tae-Sic Yoo

Nuclear Science & Technology

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

5 Scopus citations

Abstract

This paper addresses the issue of counting the occurrence of special events in the framework of partially-observed discrete-event dynamical systems (DEDS). Developed diagnosers referred to as sequential window diagnosers (SWDs) utilize the stochastic diagnoser probability transition matrices developed in [9] along with a resetting mechanism that allows on-line monitoring of special event occurrences. To illustrate their performance, the SWDs are applied to detect and count the occurrence of special events in a particular DEDS. Results show that SWDs are able to accurately track the number of times special events occur.

Original language	English
Title of host publication	2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009
Pages	668-675
Number of pages	8
DOIs	https://doi.org/10.1109/ALLERTON.2009.5394922
State	Published - 2009
Event	2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009 - Monticello, IL, United States Duration: Sep 30 2009 → Oct 2 2009

Publication series

Name	2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009

Conference

Conference	2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009
Country/Territory	United States
City	Monticello, IL
Period	09/30/09 → 10/2/09

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10.1109/ALLERTON.2009.5394922

Cite this

Lin, W. C., Garcia, H. E., Thorsley, D., & Yoo, T.-S. (2009). Sequential window diagnoser for discrete-event systems under unreliable observations. In 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009 (pp. 668-675). Article 5394922 (2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009). https://doi.org/10.1109/ALLERTON.2009.5394922

@inproceedings{2bfbc95f37684362954fa41fa5ac9db6,

title = "Sequential window diagnoser for discrete-event systems under unreliable observations",

abstract = "This paper addresses the issue of counting the occurrence of special events in the framework of partially-observed discrete-event dynamical systems (DEDS). Developed diagnosers referred to as sequential window diagnosers (SWDs) utilize the stochastic diagnoser probability transition matrices developed in [9] along with a resetting mechanism that allows on-line monitoring of special event occurrences. To illustrate their performance, the SWDs are applied to detect and count the occurrence of special events in a particular DEDS. Results show that SWDs are able to accurately track the number of times special events occur.",

author = "Lin, \{Wen Chiao\} and Garcia, \{Humberto E.\} and David Thorsley and Tae-Sic Yoo",

year = "2009",

doi = "10.1109/ALLERTON.2009.5394922",

language = "English",

isbn = "9781424458714",

series = "2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009",

pages = "668--675",

booktitle = "2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009",

note = "2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009 ; Conference date: 30-09-2009 Through 02-10-2009",

}

Lin, WC, Garcia, HE, Thorsley, D & Yoo, T-S 2009, Sequential window diagnoser for discrete-event systems under unreliable observations. in 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009., 5394922, 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009, pp. 668-675, 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009, Monticello, IL, United States, 09/30/09. https://doi.org/10.1109/ALLERTON.2009.5394922

Sequential window diagnoser for discrete-event systems under unreliable observations. / Lin, Wen Chiao; Garcia, Humberto E.; Thorsley, David et al.
2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009. 2009. p. 668-675 5394922 (2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009).

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

TY - GEN

T1 - Sequential window diagnoser for discrete-event systems under unreliable observations

AU - Lin, Wen Chiao

AU - Garcia, Humberto E.

AU - Thorsley, David

AU - Yoo, Tae-Sic

PY - 2009

Y1 - 2009

N2 - This paper addresses the issue of counting the occurrence of special events in the framework of partially-observed discrete-event dynamical systems (DEDS). Developed diagnosers referred to as sequential window diagnosers (SWDs) utilize the stochastic diagnoser probability transition matrices developed in [9] along with a resetting mechanism that allows on-line monitoring of special event occurrences. To illustrate their performance, the SWDs are applied to detect and count the occurrence of special events in a particular DEDS. Results show that SWDs are able to accurately track the number of times special events occur.

AB - This paper addresses the issue of counting the occurrence of special events in the framework of partially-observed discrete-event dynamical systems (DEDS). Developed diagnosers referred to as sequential window diagnosers (SWDs) utilize the stochastic diagnoser probability transition matrices developed in [9] along with a resetting mechanism that allows on-line monitoring of special event occurrences. To illustrate their performance, the SWDs are applied to detect and count the occurrence of special events in a particular DEDS. Results show that SWDs are able to accurately track the number of times special events occur.

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U2 - 10.1109/ALLERTON.2009.5394922

DO - 10.1109/ALLERTON.2009.5394922

M3 - Conference contribution

AN - SCOPUS:77949608576

SN - 9781424458714

T3 - 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009

SP - 668

EP - 675

BT - 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009

T2 - 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009

Y2 - 30 September 2009 through 2 October 2009

ER -

Lin WC, Garcia HE, Thorsley D, Yoo TS. Sequential window diagnoser for discrete-event systems under unreliable observations. In 2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009. 2009. p. 668-675. 5394922. (2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009). doi: 10.1109/ALLERTON.2009.5394922

Sequential window diagnoser for discrete-event systems under unreliable observations

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