Objective Objectives and content The VISION Project aims to develop a system for performing automatic diagnosis of the condition of a large section of the rotating machinery in use in European industry. The technology will be an advance on systems currently available, which do not give industrial users sufficiently reliable results for them to have confidence in basing their maintenance strategies and actions on their output. The application of condition monitoring to rotating machinery has been identified as a significant source of potential benefit to European industry in studies such as EBSOM (the European Benchmark Study on Maintenance). Whilst the level of application of condition monitoring is increasing, in many areas it is either not adopted at all, or is failing to reap proper rewards, because of the difficult and subjective nature of data analysis, particularly where vibration data is concerned. Attempts to automate this process have so far been relatively unsuccessful in providing a tool which will allow European companies to confidently apply condition monitoring to their plant. The VISION Project aims to develop the technology necessary for such a tool. One key aspect of the approach taken by the VISION Project will be the use of simulation techniques to provide a model of industrial plant, which will be verified in the development stages using test rigs. The verification of the simulation using real data is necessary to ensure that the diagnostic system which is developed is valid for the class of machines to which it is applied. The diagnostic system, which is another key point in the VISION Project, will be based on artificial intelligence techniques, particularly artificial neural networks (ANNs). This system will be developed adaptively by using the output of the simulation models to teach the diagnostic system about the characteristics of the plant. Once the system is trained, it will be de-coupled from the simulation model and used to analyse and interpret data from real-world plant, and provide diagnostic advice to maintenance and plant engineers in a wide range of industrial sectors. The VISION Project Consortium includes a number of industrial partners, including ABB, Nestle UK, Doveurope, and Carnaud Metalbox; partners from the United Kingdom, Finland, France, and Greece are participating in the Project. This structure gives the VISION Project strength in resources, experience, and a wide range of industrial sectors and applications, which will ensure that the end result of the Project is a robust and reliable solution which is relevant to a large section of European industry. Fields of science natural sciencescomputer and information sciencesdata sciencenatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) FP4-BRITE/EURAM 3 - Specific research and technological development programme in the field of industrial and materials technologies, 1994-1998 Topic(s) 0104 - Safety and reliability of production systems Call for proposal Data not available Funding Scheme CSC - Cost-sharing contracts Coordinator Monition Ltd. EU contribution No data Address Whitlieu common S80 3EH Worksop - Nottinghamshire United Kingdom See on map Total cost No data Participants (8) Sort alphabetically Sort by EU Contribution Expand all Collapse all ABB Services Oy Finland EU contribution No data Address 8,Takonotie 00380 Helsinki See on map Total cost No data Carnaud Metalbox PLC United Kingdom EU contribution No data Address Dockfield Road BD17 7AY Shipley See on map Total cost No data Helgeco SA. Greece EU contribution No data Address 8,I. Metaxa 17343 Athens See on map Total cost No data Marine Corporation of Lesvos Greece EU contribution No data Address 2,Astrigos 18535 Piraeus See on map Total cost No data NATIONAL TECHNICAL UNIVERSITY OF ATHENS Greece EU contribution No data Address Polytexneioupolh Zografou, Mechanical Engineering 15780 ATHENS See on map Total cost No data Nestle UK Ltd. United Kingdom EU contribution No data Address Hayes Factory Nestles Avenue UB3 4RF Hayes See on map Total cost No data TECHNICAL RESEARCH CENTRE OF FINLAND Finland EU contribution No data Address 3,Kemistintie 3 02044 ESPOO See on map Total cost No data University of Sunderland United Kingdom EU contribution No data Address St. Peter's Way SR6 0DD Sunderland See on map Total cost No data
