Integration of behavioral fault-detection models and an intelligent reactive scheduler

L. E. Holloway; C. J. Paul; J. K. Strosnider; B. H. Krogh

doi:10.1109/ISIC.1991.187346

Integration of behavioral fault-detection models and an intelligent reactive scheduler

L. E. Holloway, C. J. Paul, J. K. Strosnider, B. H. Krogh

Institute for Sustainable Manufacturing (ISM)

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

2 Scopus citations

Abstract

An integrated approach for monitoring large-scale distributed processes and modifying the control plan in real-time, in reaction to deviations from the planned production schedule, is described. The monitoring is accomplished via behavioral models that represent and manipulate both discrete and continuous process dynamics. Reactive scheduling and control is accomplished by combining artificial intelligence and numeric optimization techniques to minimize the cost of recovery. The feasibility of recovery strategies is checked online using the behavioral models in a simulation mode. A prototype system has been implemented using CROPS5 (Concurrent real-time OPS5) and C++ and runs on the Mach operating systems. The system is intended for online monitoring and reactive scheduling of continuous-caster steel mills.

Original language	English
Title of host publication	Proceedings of the 1991 IEEE International Symposium on Intelligent Control
Pages	134-139
Number of pages	6
DOIs	https://doi.org/10.1109/ISIC.1991.187346
State	Published - 1991
Event	1991 IEEE International Symposium on Intelligent Control - Arlington, VA, USA Duration: Aug 13 1991 → Aug 15 1991

Publication series

Name	Proceedings of the 1991 IEEE International Symposium on Intelligent Control

Conference

Conference	1991 IEEE International Symposium on Intelligent Control
City	Arlington, VA, USA
Period	8/13/91 → 8/15/91

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ISIC.1991.187346

Cite this

Holloway, L. E., Paul, C. J., Strosnider, J. K., & Krogh, B. H. (1991). Integration of behavioral fault-detection models and an intelligent reactive scheduler. In Proceedings of the 1991 IEEE International Symposium on Intelligent Control (pp. 134-139). (Proceedings of the 1991 IEEE International Symposium on Intelligent Control). https://doi.org/10.1109/ISIC.1991.187346

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title = "Integration of behavioral fault-detection models and an intelligent reactive scheduler",

abstract = "An integrated approach for monitoring large-scale distributed processes and modifying the control plan in real-time, in reaction to deviations from the planned production schedule, is described. The monitoring is accomplished via behavioral models that represent and manipulate both discrete and continuous process dynamics. Reactive scheduling and control is accomplished by combining artificial intelligence and numeric optimization techniques to minimize the cost of recovery. The feasibility of recovery strategies is checked online using the behavioral models in a simulation mode. A prototype system has been implemented using CROPS5 (Concurrent real-time OPS5) and C++ and runs on the Mach operating systems. The system is intended for online monitoring and reactive scheduling of continuous-caster steel mills.",

author = "Holloway, {L. E.} and Paul, {C. J.} and Strosnider, {J. K.} and Krogh, {B. H.}",

year = "1991",

doi = "10.1109/ISIC.1991.187346",

language = "English",

isbn = "0780301064",

series = "Proceedings of the 1991 IEEE International Symposium on Intelligent Control",

pages = "134--139",

booktitle = "Proceedings of the 1991 IEEE International Symposium on Intelligent Control",

note = "1991 IEEE International Symposium on Intelligent Control ; Conference date: 13-08-1991 Through 15-08-1991",

}

Holloway, LE, Paul, CJ, Strosnider, JK & Krogh, BH 1991, Integration of behavioral fault-detection models and an intelligent reactive scheduler. in Proceedings of the 1991 IEEE International Symposium on Intelligent Control. Proceedings of the 1991 IEEE International Symposium on Intelligent Control, pp. 134-139, 1991 IEEE International Symposium on Intelligent Control, Arlington, VA, USA, 8/13/91. https://doi.org/10.1109/ISIC.1991.187346

Integration of behavioral fault-detection models and an intelligent reactive scheduler. / Holloway, L. E.; Paul, C. J.; Strosnider, J. K. et al.
Proceedings of the 1991 IEEE International Symposium on Intelligent Control. 1991. p. 134-139 (Proceedings of the 1991 IEEE International Symposium on Intelligent Control).

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

TY - GEN

T1 - Integration of behavioral fault-detection models and an intelligent reactive scheduler

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AU - Paul, C. J.

AU - Strosnider, J. K.

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Y1 - 1991

N2 - An integrated approach for monitoring large-scale distributed processes and modifying the control plan in real-time, in reaction to deviations from the planned production schedule, is described. The monitoring is accomplished via behavioral models that represent and manipulate both discrete and continuous process dynamics. Reactive scheduling and control is accomplished by combining artificial intelligence and numeric optimization techniques to minimize the cost of recovery. The feasibility of recovery strategies is checked online using the behavioral models in a simulation mode. A prototype system has been implemented using CROPS5 (Concurrent real-time OPS5) and C++ and runs on the Mach operating systems. The system is intended for online monitoring and reactive scheduling of continuous-caster steel mills.

AB - An integrated approach for monitoring large-scale distributed processes and modifying the control plan in real-time, in reaction to deviations from the planned production schedule, is described. The monitoring is accomplished via behavioral models that represent and manipulate both discrete and continuous process dynamics. Reactive scheduling and control is accomplished by combining artificial intelligence and numeric optimization techniques to minimize the cost of recovery. The feasibility of recovery strategies is checked online using the behavioral models in a simulation mode. A prototype system has been implemented using CROPS5 (Concurrent real-time OPS5) and C++ and runs on the Mach operating systems. The system is intended for online monitoring and reactive scheduling of continuous-caster steel mills.

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BT - Proceedings of the 1991 IEEE International Symposium on Intelligent Control

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Integration of behavioral fault-detection models and an intelligent reactive scheduler

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