Assistance for the design of a diagnosable component-based system

Yannick Pencolé

doi:10.1109/ICTAI.2005.41

Assistance for the design of a diagnosable component-based system

Yannick Pencolé^*

^*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

Diagnosability of component-based systems is a property that characterises the ability to diagnose fault events given a flow of observations. In this paper, we use model-based reasoning techniques and we propose a theoretical framework to analyse diagnosability in a decentralised way. We then introduce an algorithm that performs diagnosability analyses and provides useful information for the design of a diagnosable component-based system.

Original language	English
Title of host publication	ICTAI 2005
Subtitle of host publication	17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05
Pages	549-556
Number of pages	8
DOIs	https://doi.org/10.1109/ICTAI.2005.41
Publication status	Published - 2005
Event	ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05 - Hong Kong, China Duration: 14 Nov 2005 → 16 Nov 2005

Publication series

Name	Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume	2005
ISSN (Print)	1082-3409

Conference

Conference	ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05
Country/Territory	China
City	Hong Kong
Period	14/11/05 → 16/11/05

Access to Document

10.1109/ICTAI.2005.41

Cite this

@inproceedings{23d833a82b3942cfbd2f57267ef7a52a,

title = "Assistance for the design of a diagnosable component-based system",

abstract = "Diagnosability of component-based systems is a property that characterises the ability to diagnose fault events given a flow of observations. In this paper, we use model-based reasoning techniques and we propose a theoretical framework to analyse diagnosability in a decentralised way. We then introduce an algorithm that performs diagnosability analyses and provides useful information for the design of a diagnosable component-based system.",

author = "Yannick Pencol{\'e}",

year = "2005",

doi = "10.1109/ICTAI.2005.41",

language = "English",

isbn = "0769524885",

series = "Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI",

pages = "549--556",

booktitle = "ICTAI 2005",

note = "ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05 ; Conference date: 14-11-2005 Through 16-11-2005",

}

Pencolé, Y 2005, Assistance for the design of a diagnosable component-based system. in ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05., 1562991, Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, vol. 2005, pp. 549-556, ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05, Hong Kong, China, 14/11/05. https://doi.org/10.1109/ICTAI.2005.41

Assistance for the design of a diagnosable component-based system. / Pencolé, Yannick.
ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05. 2005. p. 549-556 1562991 (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI; Vol. 2005).

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

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PY - 2005

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N2 - Diagnosability of component-based systems is a property that characterises the ability to diagnose fault events given a flow of observations. In this paper, we use model-based reasoning techniques and we propose a theoretical framework to analyse diagnosability in a decentralised way. We then introduce an algorithm that performs diagnosability analyses and provides useful information for the design of a diagnosable component-based system.

AB - Diagnosability of component-based systems is a property that characterises the ability to diagnose fault events given a flow of observations. In this paper, we use model-based reasoning techniques and we propose a theoretical framework to analyse diagnosability in a decentralised way. We then introduce an algorithm that performs diagnosability analyses and provides useful information for the design of a diagnosable component-based system.

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U2 - 10.1109/ICTAI.2005.41

DO - 10.1109/ICTAI.2005.41

M3 - Conference contribution

SN - 0769524885

SN - 9780769524887

T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

SP - 549

EP - 556

BT - ICTAI 2005

T2 - ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05

Y2 - 14 November 2005 through 16 November 2005

ER -

Assistance for the design of a diagnosable component-based system

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