Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy looks at the complex and critical components of energy assets and the importance of inspection and maintenance to ensure their high availability and uninterrupted operation. Presenting the main concepts, state-of-the-art advances and case studies, this book approaches the topic by considering it as an integral part of the overall operation of any wind energy project. Linking the essential NDT subject with its sub disciplines, the book uses computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques to support analysis of prognostic problems with defined constraints and requirements. This book is the first of its kind and will provide useful insights to industrial engineers and scientists, academics and students in the possibilities that NDT and condition monitoring technologies can offer.
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Professor Fausto works as Professor at Universidad De Castilla-La Mancha, Spain. Honorary Senior Research Fellow at Birmingham University, UK, Lecturer at the Postgraduate European Institute. He has published more than 150 papers and is author and editor of 31 books (Elsevier, Springer, Pearson, Mc-GrawHill, Intech, IGI, Marcombo, AlfaOmega). He is Editor of 5 Int. Journals, Committee Member more than 40 Int. Conferences. He has been Principal Investigator in 4 European Projects, 6 National Projects, and more than 150 projects for Universities, Companies, etc. His main interests are: Artificial Intelligence, Maintenance, Management, Renewable Energy, Transport, Advanced Analytics, Data Science. He is an expert in the European Union in AI4People (EISMD), and ESF and Director of www.ingeniumgroup.eu.
Mayorkinos Papaelias is a Reader in NDT and Condition Monitoring in the School of Metallogy and Materials at the University of Birmingham, UK. Dr Papaelias leads the research activity in Non-Destructive Testing and Structural Health Condition Monitoring at the Birmingham Railway Centre for Research and Education and conducts research in structural health condition monitoring of wind turbine towers, and advanced condition monitoring of wind turbine gearboxes and rotating machinery. He served as a technical consultant to TWI, ENGITEC, Innovative Technology and Science Ltd, and Instituto de Soldadura e Qualidade. He is editor of two books on fault detection and condition monitoring, and has contributed chapters to books in fault detection and rail inspection. Mayorkinos is chairman of the Education Committee of the International Society for Condition Monitoring of the British Institute of Non-Destructive Testing.
Dr. Valter is a postdoctoral research fellow at the school of metallurgy and materials at the University of Birmingham, UK. His main research interests are damage modelling, finite element analysis, failure analysis, surface engineering, condition monitoring, and advanced material characterisation. He has been distinguished with the Len Gelman Award for the best paper by a person in the early stages of their career, in the Proceedings of the First World Congress on Condition Monitoring, 2017. He is a member of the Institute of Materials, Minerals & Mining (IOM3). He has experienced in the in the following areas: electron (including FEG, EBSD, EDS) and optical microscopy; tensile and fatigue testing; tribological testing; plasma nitriding, including DC and active screen; vibration analysis; acoustic emission monitoring; and modelling of materials.
Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy looks at the complex and critical components of energy assets, and the importance of inspection and maintenance to ensure their high availability and uninterrupted operation.
Presenting the main concepts, state of the art advances and case studies in Non-Destructive Techniques (NDT) and Condition Monitoring Systems, this book approaches the topic by considering it as an integral part of the overall operation of any wind energy project.
Linking the essential NDT subject with its sub disciplines it uses computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques to support analysis of prognostic problems with defined constraints and requirements.
This book is the first of its kind and will provide a useful insight to industrial engineers and scientists, academics and students in the possibilities that NDT and condition monitoring technologies can offer. It will also provide a useful reference to researchers working in the field.
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