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

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

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.

Original language	English
Pages (from-to)	2626-2630
Number of pages	5
Journal	Proceedings of the American Control Conference
Volume	4
DOIs	https://doi.org/10.1109/ACC.1995.532323
State	Published - 1995
Event	Proceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA Duration: Jun 21 1995 → Jun 23 1995

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/ACC.1995.532323

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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",

volume = "4",

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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TY - JOUR

T1 - Learning of time templates from system observation

AU - Das, Sujit R.

AU - Holloway, Lawrence E.

PY - 1995

Y1 - 1995

N2 - 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.

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

AN - SCOPUS:0029204652

SN - 0743-1619

VL - 4

SP - 2626

EP - 2630

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - Proceedings of the 1995 American Control Conference. Part 1 (of 6)

Y2 - 21 June 1995 through 23 June 1995

ER -

Learning of time templates from system observation

Abstract

ASJC Scopus subject areas

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