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E-maintenance is the synthesis of two major trends in today’s society: the growing importance of maintenance as a key technology and the rapid development of information and communication technology. E-maintenance gives the reader an overview of the possibilities offered by new and advanced information and communication technology to achieve efficient maintenance solutions in industry, energy production and transportation, thereby supporting sustainable development in society. Sixteen chapters cover a range of different technologies, such as: new micro sensors, on-line lubrication sensors, smart tags for condition monitoring, wireless communication and smart personal digital assistants. E-maintenance also discusses semantic data-structuring solutions; ontology structured communications; implementation of diagnostics and prognostics; and maintenance decision support by economic optimisation. It includes four industrial cases that are both described and analysed in detail, with an outline of a global application solution. E-maintenance is a useful tool for engineers and technicians who wish to develop e-maintenance in industrial sites. It is also a source of new and stimulating ideas for researchers looking to make the next step towards sustainable development.
- Sales Rank: #4884197 in Books
- Brand: Brand: Springer London
- Published on: 2010-08-19
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x 1.19" w x 6.14" l, 1.97 pounds
- Binding: Hardcover
- 511 pages
- Used Book in Good Condition
From the Back Cover
E-maintenance is the synthesis of two major trends in today’s society: the growing importance of maintenance as a key technology and the rapid development of information and communication technology. E-maintenance gives the reader an overview of the possibilities offered by new and advanced information and communication technology to achieve efficient maintenance solutions in industry, energy production and transportation, thereby supporting sustainable development in society. Sixteen chapters cover a range of different technologies, such as: • new micro sensors; • on-line lubrication sensors; • smart tags for condition monitoring; • wireless communication; and • smart personal digital assistants. E-maintenance also discusses semantic data-structuring solutions; ontology structured communications; implementation of diagnostics and prognostics; and maintenance decision support by economic optimisation. It includes four industrial cases that are both described and analysed in detail, with an outline of a global application solution. E-maintenance is a useful tool for engineers and technicians who wish to develop e-maintenance in industrial sites. It is also a source of new and stimulating ideas for researchers looking to make the next step towards sustainable development.
About the Author
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 University of Technology. He works as a senior research scientist in the knowledge centre of Smart Machines at the VTT Technical Research Centre of Finland. His research interests are related to information technology applications in maintenance engineering, condition monitoring, machine diagnostics and prognostics, and signal analysis. Julien Mascolo works for the FIAT Research Centre in Turin, Italy. He is a manager in the Infomobility Business Line for projects related to the optimisation of industrial processes: manufacturing, logistics and product development process. In the FIAT Sectors (IVECO, CNH and FIAT Group Automobiles) he is involved in the development of mobility and productivity services based on telematics, and on product lifecycle management. Samir Mekid received his PhD in Precision Engineering. He is a member and chartered engineer (CEng) of IMechE. He was a lecturer at UMIST, then The University of Manchester (UK), and is currently associate professor at KFUPM (KSA). He is engaged in multidisciplinary research activities, including precision machine design, instrumentation, sensors and metrology.
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