Towards a realtime knowledge-based simulation system for diagnosing machine tool failure

Manivannan, S.; Banks, Jerry

doi:10.1109/wsc.1990.129584

Cited by 5 publications

(7 citation statements)

References 2 publications

(1 reference statement)

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“…In Taylor et al [8], the authors use simulation to improve product designs in existing manufacturing environments. A good example of simulation in trouble shooting appears in Manivannan and Banks[9].…”

Section: Background Informationmentioning

confidence: 99%

A decision support system for container design in production systems

Harit

Taylor

Asfahl

1997

Integrated Manufacturing Systems

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Describes a user‐friendly decision support tool to select near optimal containers for specific manufacturing scenarios relative to all the constraints associated with the use of the container. Guides the user through a dialogue to input constraints and scenario‐specific information. Shows how the decision support tool iterates between an expert system and a simulation model, to produce a near optimal container with respect to internal and external dimensional requirements. Explains the methods by which the system is tested and validated in a realistic environment. Discusses future research directions.

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Section: Background Informationmentioning

confidence: 99%

A decision support system for container design in production systems

Harit

Taylor

Asfahl

1997

Integrated Manufacturing Systems

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“…Based on this system, Manivannan and Banks have come up with a design for a knowledge-based on-line simulation system to control a manufacturing shop floor. Manivannan and Banks (1990) have also developed an on-line knowledge based simulation system for diagnosing machine tool failure. The framework of this system is similar to the previous system.…”

Section: On-line Simulation For Monitoring and Controlmentioning

confidence: 99%

Domain-based on-line simulation for real-time decision support

Krishnamurthi

Vasudevan

1993

Proceedings of the 25th Conference on Winter Simulation - WSC '93

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In this research the applicability of on-line simulation systems for real time decision support is explored and the concept of domain based on-line simulation systems is introduced. For the purpose of demonstrating the feasibility of this concept, a proto~e domain based on-line simulation has been designed, developed, and implemented. The details of the prototype system and how it could be used to make real-time decisions for various problem situations in a chosen domain are discussed. The implemented on-line simulation system has been validated using an off-line simulation model and the results have been analyzed to evaluate the feasibility and cost effectiveness of developing domain based on-line simulation systems.

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“…An expert system software to diagnose failures and recommend procedures to correct those failures is reported in (Cantone and Caserta, 1988). A knowledge-based simulation system to diagnose failure propagation within a CNC turning center using real-time sensory information is discussed in (Manivannan and Banks, 1990).…”

Section: Manivannan and Banksmentioning

confidence: 99%

“…Applications of knowledge-based control systems are growing in alarm monitoring, fault diagnosis and maintenance scheduling to mention a few areas (Krijgsman, et al 1988;Manivannan and Banks, 1990). The response from a knowledgebased system must be extremely fast for real-time control and hence a strong emphasis is put on minimal computation times.…”

Section: Introductionmentioning

confidence: 99%

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Real-time control of a manufacturing cell using knowledge-based simulation

Manivannan¹,

Banks²

1991 Winter Simulation Conference Proceedings.

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Issues related to real-time control of a manufacturing cell using knowledge bases and simulation are discussed. The need for integrated simulation environments for modeling and analysis is advanced. A mathematical framework based on higher level abstractions representing entities, attributes, constraints, and other components of manufacturing cells is presented. A manufacturing cell has been modeled to illustrate the framework and real-time control issues using knowledge-based simulation. A temporal knowledge base has been designed to synchronize the events and their times of occurrence in both the manufacturing cell and the simulation model. Also, a dynamic knowledge base has been implemented using frame structures for storing the results of simulation. This feature provides a faster response to a control problem by reducing the number of resimulations conducted for evaluating various alternative policies in real time.

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Towards a realtime knowledge-based simulation system for diagnosing machine tool failure

Cited by 5 publications

References 2 publications

A decision support system for container design in production systems

A decision support system for container design in production systems

Domain-based on-line simulation for real-time decision support

Real-time control of a manufacturing cell using knowledge-based simulation

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