Learning of time templates from system observation

Sujit R. Das; Lawrence E. Holloway

doi:10.1109/ACC.1995.532323

Learning of time templates from system observation

Sujit R. Das
, Lawrence E. Holloway

Producción científica: Conference article › revisión exhaustiva

2 Citas (Scopus)

Resumen

The use of time templates for discrete event fault monitoring in automated manufacturing systems gives a simple and versatile method of fault monitoring. However, ascertaining the correct knowledge of the time templates for the system is a significant issue. In this paper we have presented a simple online algorithm for the generation of templates by listening to observations corresponding to the correct operation of multiple concurrent, possibly identical, processes. Event pairs pertaining to individual concurrent process instances are segregated and the timing relationships between the events in each pair are determined. The paper also verifies several useful properties of the template sets thus determined.

Idioma original	English
Páginas (desde-hasta)	2626-2630
Número de páginas	5
Publicación	Proceedings of the American Control Conference
Volumen	4
DOI	https://doi.org/10.1109/ACC.1995.532323
Estado	Published - 1995
Evento	Proceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA Duración: jun 21 1995 → jun 23 1995

ASJC Scopus subject areas

Electrical and Electronic Engineering

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title = "Learning of time templates from system observation",

abstract = "The use of time templates for discrete event fault monitoring in automated manufacturing systems gives a simple and versatile method of fault monitoring. However, ascertaining the correct knowledge of the time templates for the system is a significant issue. In this paper we have presented a simple online algorithm for the generation of templates by listening to observations corresponding to the correct operation of multiple concurrent, possibly identical, processes. Event pairs pertaining to individual concurrent process instances are segregated and the timing relationships between the events in each pair are determined. The paper also verifies several useful properties of the template sets thus determined.",

author = "Das, \{Sujit R.\} and Holloway, \{Lawrence E.\}",

year = "1995",

doi = "10.1109/ACC.1995.532323",

language = "English",

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pages = "2626--2630",

note = "Proceedings of the 1995 American Control Conference. Part 1 (of 6) ; Conference date: 21-06-1995 Through 23-06-1995",

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AU - Das, Sujit R.

AU - Holloway, Lawrence E.

PY - 1995

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AB - The use of time templates for discrete event fault monitoring in automated manufacturing systems gives a simple and versatile method of fault monitoring. However, ascertaining the correct knowledge of the time templates for the system is a significant issue. In this paper we have presented a simple online algorithm for the generation of templates by listening to observations corresponding to the correct operation of multiple concurrent, possibly identical, processes. Event pairs pertaining to individual concurrent process instances are segregated and the timing relationships between the events in each pair are determined. The paper also verifies several useful properties of the template sets thus determined.

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U2 - 10.1109/ACC.1995.532323

DO - 10.1109/ACC.1995.532323

M3 - Conference article

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SN - 0743-1619

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JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

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Y2 - 21 June 1995 through 23 June 1995

ER -

Learning of time templates from system observation

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