Fault Monitoring in Manufacturing Systems Using Concurrent Discrete-Event Observations

Lawrence E. Holloway; Sujeet Chand

Fault Monitoring in Manufacturing Systems Using Concurrent Discrete-Event Observations

Lawrence E. Holloway, Sujeet Chand

Institute for Sustainable Manufacturing (ISM)

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

The discrete-event nature of on-line data from automated manufacturing system offers many challenges for on-line fault detection. In this paper, the template monitoring method is developed as a simple but versatile method of fault monitoring using discrete event signals. This monitoring method is easily distributable, suitable for monitoring highly concurrent systems, and has low computational requirements. This paper describes template monitoring and summarizes analytical results on generating templates from timed automaton models.

Original language	English
Pages	65-69
Number of pages	5
State	Published - 1994
Event	1994 AAAI Spring Symposium - Palo Alto, United States Duration: Mar 21 1994 → Mar 23 1994

Conference

Conference	1994 AAAI Spring Symposium
Country/Territory	United States
City	Palo Alto
Period	3/21/94 → 3/23/94

Bibliographical note

Publisher Copyright:
© 1994, AAAI (www.aaai.org). All rights reserved.

ASJC Scopus subject areas

Artificial Intelligence

Cite this

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title = "Fault Monitoring in Manufacturing Systems Using Concurrent Discrete-Event Observations",

abstract = "The discrete-event nature of on-line data from automated manufacturing system offers many challenges for on-line fault detection. In this paper, the template monitoring method is developed as a simple but versatile method of fault monitoring using discrete event signals. This monitoring method is easily distributable, suitable for monitoring highly concurrent systems, and has low computational requirements. This paper describes template monitoring and summarizes analytical results on generating templates from timed automaton models.",

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AU - Chand, Sujeet

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N2 - The discrete-event nature of on-line data from automated manufacturing system offers many challenges for on-line fault detection. In this paper, the template monitoring method is developed as a simple but versatile method of fault monitoring using discrete event signals. This monitoring method is easily distributable, suitable for monitoring highly concurrent systems, and has low computational requirements. This paper describes template monitoring and summarizes analytical results on generating templates from timed automaton models.

AB - The discrete-event nature of on-line data from automated manufacturing system offers many challenges for on-line fault detection. In this paper, the template monitoring method is developed as a simple but versatile method of fault monitoring using discrete event signals. This monitoring method is easily distributable, suitable for monitoring highly concurrent systems, and has low computational requirements. This paper describes template monitoring and summarizes analytical results on generating templates from timed automaton models.

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M3 - Paper

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T2 - 1994 AAAI Spring Symposium

Y2 - 21 March 1994 through 23 March 1994

ER -

Fault Monitoring in Manufacturing Systems Using Concurrent Discrete-Event Observations

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

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