Knowledge-Based Process Monitoring and Failure Detection Applied to Gas Transmission Networks

Lappus, G.

doi:10.1007/978-94-009-3931-8_14

Cited by 1 publication

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“…Appropriate tools for the realization of such a system are available from the AI research field, see, for instance, Talukdar and co-workers (1986). A more detailed description of this scheme is given by Schmidt and coworkers (1986) and Lappus (1986). Let us just outline the functional relationship between the subsystems with respect to fault detection and diagnosis.…”

Section: Outlook To Knowledge·based Process Monitoring and Controlmentioning

confidence: 99%

Process Monitoring and Control of Gas Pipeline Networks

Lappus

Schmidt

1990

Real Time Microcomputer Control of Industrial Processes

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Gas transmission by high-pressure pipeline networks is a large-scale, nonlinear, distributedparameter process. Process monitoring, fault detection/diagnosis, and control of such networks have become complex tasks. Their solution requires sophisticated tools, which are based on the application of advanced theoretical methods as well as modem computer and communication technologies. Microprocessors and microcomputers (including personal computers) have taken over the role of formerly hard-wired front-ends and large process control computers. Though the solution of specific problems, such as optimal, predictive network control, still requires the use of the latter ones, it is worth to review process monitoring and control of gas transmission networks in a chapter of this volume as many essential subtasks, such as dynamic simulation, state estimation, and fault detection/diagnosis, can be solved by means of today's powerful microprocessors and microcomputers. CONTENTS

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Section: Outlook To Knowledge·based Process Monitoring and Controlmentioning

confidence: 99%