E-maintenance

Maintenance Today and Future Trends.- Information and Communication Technologies Within E-maintenance.- A New Integrated E-maintenance Concept.- Intelligent Wireless Sensors.- MEMS Sensors.- Lubricating Oil Sensors.- Smart Tags.- Mobile Devices and Services.- Wireless Communication.- Semantic Web Services for Distributed Intelligence.- Strategies for Maintenance Cost-effectiveness.- Dynamic and Cost-effective Maintenance Decisions.- Industrial Demonstrations of E-maintenance Solutions.- E-training in Maintenance.- Conclusions and Future Perspectives.

Kenneth Holmberg is a research professor in tribology, condition monitoring and operational reliability at the VTT Technical Research Centre of Finland. He is the author and editor of several books and has published more than 150 scientific papers, mainly in the areas of tribology, surface engineering, lubrication, operational reliability, maintenance and diagnostics. Professor Holmberg has given 36 invited keynote lectures at international conferences and has been responsible for organising major international conferences in tribology, monitoring and diagnostics. He is vice president of the International Tribology Council and was president of the OECD IRG Wear group 1992-2006, and chairman of the European COST 516&532 TRIBOLOGY joint research actions 1995-2007. He is Chief Engineer Councillor at the Supreme Administrative Court of Finland and a frequently used expert in the European Community and European Science Foundation research actions and programmes. Professor Holmberg is on the editorial board of five scientific journals and is frequently consulted for industrial contracts and R&D projects.Adam Adgar received his PhD in control engineering from the University of Sunderland where he worked for many years. He is an associate member of the Institution of Chemical Engineers and his main research interests are process modelling and control; artificial neural networks; water treatment; statistical process control; and condition monitoring. He is currently a senior lecturer at Teesside University .Aitor Arnaiz has a PhD in computing technologies, related to condition monitoring tasks, from the University of Sunderland. He is currently working as senior researcher and head of Tekniker's Unit of Technologies for Diagnostics and Prediction in Eibar, Spain. His current professional interests are intelligent systems in monitoring, prediction and diagnosis; machine learning; uncertainty management; and Bayesian networks.Erkki Jantunen has a PhD from Helsinki