摘要:

Industry is dominated by dynamic systems such as process control of chemical plants or steel plants and power generation, ranging to areas such as ecological systems and traffic systems. A challenging problem is to perform real-time monitoring and diagnosis of such dynamic systems. The paper describes the work of the TIGER ESPRIT Project in performing real-time situation assessment of dynamic systems. The goal of TIGER is to monitor a complex dynamic system in real time and make an assessment of whether it is working properly. If it is not working properly, it is desirable to identify the cause of the problem either from a set of known faults or to characterise an unknown fault. This work is applied in the application domain of condition monitoring of gas turbines. The project is developing and demonstrating its techniques on two industrial gas turbines; a 28 mW gas turbine used as the prime power for a chemical plant and a small auxiliary power gas turbine used in aviation. The Project is investigating a variety of tools and techniques for real-time situation assessment. These include a high-speed rule-based compiler, a situation assessment tool able to monitor dynamic responses over time, qualitative and numerical prediction of turbine response, and model-based diagnosis to help identify unknown faults. A prototype system is currently in use at a chemical plant performing monitoring and diagnosis in real-time.

DOI:10.1049/ise.1994.0014

出版商:IEE    

年代:1994

数据来源: IET

摘要:

Model-based diagnosis is regarded by many as a way to overcome the limitations of first-generation knowledge-based systems which perform fault classification by means of empirical symptom-failure associations. Many different approaches to model-based diagnosis exist. The ESPRIT ARTIST project, focusing on the development of model-based techniques for diagnosis of industrial systems, has tried to integrate these approaches within a common generic architecture so that a given application system could be generated by composing a particular diagnostic system from a set of predeveloped and hence reusable modules. There is an overview of the main results of the ARTIST project, its generic architecture and the three diagnostic systems developed and tested within the project. An industrial application to management of electrical transmission networks is presented.

DOI:10.1049/ise.1994.0015

出版商:IEE    

年代:1994

数据来源: IET

摘要:

Better automation is a key to the improvement of industrial competitiveness. However, in most industrial plants, full atuomation is not possible because intelligent decisions play an essential part in guaranteeing the success of the production process. The currently favoured solution is to rely on human controllers for intelligent input, although instances of installations with AI-based control do exist. Our belief is that process control problems require the co-operative application of more than one AI technique to be successful, and that the lack of a common framework to support AI-based process control designs has contributed to their relative lack of penetration in the industrial market-place. The HINT Project (ESPRIT E6447) has been created to address this perceived need. We are engaged in developing a conceptual framework, a software architecture, and a methodology which will together support the integration of different AI techniques to provide solutions to process control problems that require the kind of intelligent supervision that is currently carried out by human operatives.

DOI:10.1049/ise.1994.0016

出版商:IEE    

年代:1994

数据来源: IET

摘要:

Owing to the increasing complexity of traditional real-time systems, there is a growing interest in applying AI techniques, and in particular knowledge-based systems, in this domain. However, the time and memory-consuming AI algorithms, with unpredictable or highly variable performances, are usually not compatible with the strict requirements of realtime systems. The paper describes a software environment well adapted to the development and delivery of real-time knowledge-based systems. This environment is built around a multi-agent, multi-task realtime architecture based on the blackboard model. The main aspect of the developed architecture is its ability to provide guaranteed response times, through the use of various scheduling techniques, among which is progressive reasoning.

DOI:10.1049/ise.1994.0017

出版商:IEE    

年代:1994

数据来源: IET

摘要:

The paper describes the work that has taken place in the ARCHON Project, ESPRIT project P-2256. The consortium has developed a general-purpose architecture, which can be used to facilitate co-operative problem-solving in industrial applications. The paper describes the need for a multiple agent approach for industrial applications, outlines the benefits which can be accrued by adopting this paradigm, and describes the key difficulties which must be faced when building a multi-agent system in this domain. Details of the ARCHON architecture are presented, including a description of the main functional components and their realisation in a hybrid agent model. An example of co-operative fault diagnosis in an electricity management application is described in order to provide a clear illustration of the working of the ARCHON architecture, and to provide a concrete example of the potential benefits of a multi-agent approach.

DOI:10.1049/ise.1994.0018

出版商:IEE    

年代:1994

数据来源: IET