Objetivo Objectives and content This research aims to furnish a methodology and the corresponding computer code for a diagnostic system which, when coupled to existing monitoring facilities for rotating machinery in power plants, would allow the nature, location and severity of faults and malfunctions to be identified with a high degree of confidence. The research is timely because most operators of large power plants have invested in modern computer based vibration monitoring systems which collect and store large amounts of data. Current technology does not make use of all the quantitative information in this data. The proposed diagnostic system, in contrast to all existing diagnostic tools, will be based on models of the rotor-bearing-foundation system and models of possible faults or malfunctions. Faults will be detected by comparing on-line data from plant and simulated output from the model using advanced computational methods. The system will provide the plant operator with better quantitative information concerning the plant condition, allowing more informed commercial and safety decisions regarding plant operation to be made. It would also allow residual life of plant to be estimated; an extremely important feature since within the European Community many power plants are more than 20 years old and approaching the end of their design life. The technology could be transferred to rotating machinery users in other European industrial sectors. The research will consist of the following main activities: - Definition of models: Models will be prepared for components and for the complete rotor-bearing-foundation system using system identification and parameter estimation techniques where required to maximise model accuracy. Models will include non-linearities where appropriate, they will incorporate sensitivity information to quantify their robustness and they will be optimised for efficient computation. - Definition and models of faults: Fault models, compatible with the system models, will be developed for each of the principal failure modes considered and used in the model based diagnostics. - Experimental verification: The reliability of the system and fault models will be verified using test rigs and full scale in-situ measurements on the industrial partners' power plant under various operating conditions. - Development of model-based diagnostic methodology: An intelligent diagnostic system, using advanced computation methods such as a neural network and/or knowledge based system will be developed. It will interface with all the available machine monitoring instrumentation together with data from the system and fault models. Part of this work will include an assessment of monitoring instrumentation and signal processing requirements. Ámbito científico engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processingnatural sciencescomputer and information sciencescomputational sciencenatural sciencescomputer and information sciencessoftwaresoftware applicationssimulation softwarenatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programa(s) FP4-BRITE/EURAM 3 - Specific research and technological development programme in the field of industrial and materials technologies, 1994-1998 Tema(s) 0104 - Safety and reliability of production systems Convocatoria de propuestas Data not available Régimen de financiación CSC - Cost-sharing contracts Coordinador University of Aston Aportación de la UE Sin datos Dirección Aston Triangle B4 7ET Birmingham Reino Unido Ver en el mapa Coste total Sin datos Participantes (6) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo E.ON UK PLC Reino Unido Aportación de la UE Sin datos Dirección RATCLIFFE-ON-SOAR NG11 0EE NOTTINGHAM Ver en el mapa Coste total Sin datos ENEL SpA Italia Aportación de la UE Sin datos Dirección Via Alessandro Volta 1 20093 Cologno Monzese Ver en el mapa Coste total Sin datos Electricité de France Francia Aportación de la UE Sin datos Dirección 1,Avenue du Général de Gaulle 92141 Clamart Ver en el mapa Coste total Sin datos NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY Noruega Aportación de la UE Sin datos Dirección 10,Otto Nielsens Veg 10 7450 TRONDHEIM Ver en el mapa Coste total Sin datos POLYTECHNIC OF MILAN Italia Aportación de la UE Sin datos Dirección Campus Bovisa, Piazza La Masa 34 20158 MILANO Ver en el mapa Coste total Sin datos Technische Hochschule Darmstadt Alemania Aportación de la UE Sin datos Dirección 1,Hochschulstrasse 1 64289 Darmstadt Ver en el mapa Coste total Sin datos
