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Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy
- 1st Edition - June 22, 2023
- Editors: Fausto Pedro Garcia Marquez, Mayorkinos Papaelias, Valter Luiz Jantara Junior
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 6 6 6 - 2
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 1 0 0 - 5
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 maint… Read more
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Request a sales quoteNon-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.
- Presents advances in Non-Destructive Techniques and Condition Monitoring Systems applied in the energy industry
- Provides case studies in Fault Detection and Diagnosis and Prognosis for critical variability
- Offers technical maintenance actions for the observation and analyses of inspection, monitoring, testing, diagnosis, prognosis and active maintenance actions in wind
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Biographies
- Foreword
- Preface
- Introduction to non-destructive testing and condition monitoring techniques in wind energy
- Background and purpose of the book
- Target audience
- 1. SCADA-based fault detection in wind turbines: data-driven techniques and applications
- 1. SCADA-based condition monitoring
- 2. Early fault detection with normal behavior models and SCADA data
- 3. Case study: early fault detection in gear bearings with multi-target normal behavior models and SCADA data
- 2. Fault detection in small wind turbines using condition monitoring techniques and machine learning algorithms (a predictive approach)
- 1. Introduction
- 2. Related works
- 3. Condition monitoring techniques
- 4. System design
- 5. Machine learning algorithms
- 6. Implementation
- 7. Results and discussion
- 8. Conclusion
- 3. Prediction and classification of different wind turbine alarms using K-nearest neighbors
- 1. Introduction
- 2. Approach
- 3. Case study and results
- 4. Conclusions
- 4. Artificial neural networks applied for wind turbines maintenance management in unmanned aerial vehicle acoustic inspection case
- 1. State of the art
- 2. Wind turbines acoustic inspection case
- 3. Artificial neural networks application
- 4. Results
- 5. Conclusions
- 5. Quantitative interlink wear estimation method for the mooring chain
- 1. Introduction
- 2. Proposed interlink wear estimation method
- 3. Application to a spar-type floating structure moored with three catenary lines
- 4. Wear estimation considering the rolling motion between adjacent chain links
- 5. Conclusions
- Appendix A: Newly designed wear test machine possible to use mooring chain surface under high pressure
- 6. Enhanced sparse representation-based intelligent recognition framework for fault diagnosis of wind turbine drive trains
- 1. Introduction
- 2. Related works
- 3. Enhanced sparse representation-based intelligent recognition framework
- 4. Experiment validations
- 5. Conclusions
- 7. An optimal combined production and maintenance policies for a wind farm with environmental and operational considerations
- 1. Introduction
- 2. Literature review
- 3. Problem setting and notations
- 4. Description of production and maintenance policies
- 5. Mathematical formulation of the production strategy
- 6. Mathematical formulation of maintenance strategies
- 7. Optimization algorithms
- 8. Numerical examples
- 9. Conclusion
- 8. The valuation of geothermal power projects in Indonesia using real options valuation
- 1. Introduction
- 2. Literature review
- 3. Methodology
- 4. Result and discussion
- 5. Conclusion
- 9. A robust multiple open-switch fault diagnosis approach for converter in wind energy system
- 1. Introduction
- 2. A brief literature review and motivation
- 3. System description and fault analysis
- 4. Fault diagnostic method
- 5. Simulation result and analysis
- 6. Conclusion
- 7. Funding statement
- 10. Condition monitoring in wind turbines: a review
- Abbreviations
- 1. Introduction
- 2. Requirements for condition monitoring in WECS
- 3. Features extracted for condition monitoring in WECS
- 4. Technologies for condition monitoring in WECS
- 5. Research challenges
- 6. Conclusion
- 11. Artificial intelligence techniques and cloud computing for wind turbine pitch bearing fault detection
- 1. Introduction
- 2. Temporal convolutional augmented Bayesian search (TCABS)
- 3. Discussion for TCABS
- 4. Fault diagnosis
- 5. Simulation
- 6. Experiments
- 7. Damage validation
- 8. Conclusion
- 12. Alarms and false-alarm analysis by support vector machine in wind turbines
- 1. Introduction
- 2. Approach
- 3. Case study and results
- 4. Conclusions
- 13. Background, advancement, and applications of in situ structural health monitoring based on different modes of failure detection in composites: a review
- Abbreviations
- 1. Introduction
- 2. Nanomaterials and in situ SHM
- 3. Applications of advanced in-situ SHM in the detection of specific modes of failures in composites
- 4. Computational modeling and in-situ SHM
- 5. Conclusion
- Data availability statement
- Conflicts of interest
- 14. Numerical simulations of offshore wind farms considering accidental scenarios
- Abbreviations
- 1. Introduction
- 2. Scenarios of accidents and accidental loads for offshore wind farms
- 3. Numerical simulations of offshore wind turbines with internal accidents
- 4. Numerical simulations of wind turbines with external accidents
- 5. Concluding remarks and future outlook
- 15. Multibody dynamic analysis of onshore horizontal-axis wind turbine
- 1. Introduction
- 2. Overview of the chapter
- 3. Mathematical model
- 4. Numerical simulation
- 5. Conclusion
- 6. Appendix: coordinate transformation
- 16. Foundation monitoring system of offshore wind turbines
- 1. Introduction
- 2. Numerical simulation of scouring effect on dynamic characteristics of offshore wind turbine
- 3. Numerical simulation of scouring effect on dynamic responses of offshore wind turbines
- 4. Real-time monitoring system for scouring around monopile foundations of offshore wind turbines
- 5. Real-time uneven settlement and stress monitoring systems for jacket-foundation offshore wind turbines
- 6. Conclusion
- Index
- No. of pages: 560
- Language: English
- Edition: 1
- Published: June 22, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780323996662
- eBook ISBN: 9780323951005
FG
Fausto Pedro Garcia Marquez
MP
Mayorkinos Papaelias
VJ