Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy
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portes grátis
Non-Destructive Testing and Condition Monitoring Techniques in Wind Energy
Papaelias, Mayorkinos; Garcia Marquez, Fausto Pedro; Junior, Valter Luiz Jantara
Elsevier Science & Technology
06/2023
560
Mole
Inglês
9780323996662
15 a 20 dias
Descrição não disponível.
1. Introduction
2. The significance of NDT and Condition Monitoring for the Wind Energy industry
3. Trends in maintenance strategies for wind energy assets
4. NDT and Condition Monitoring techniques for wind turbines
5. Online evaluation of wind turbine power converters
6. Wind turbine gearboxes: A case study
7. Onshore versus offshore wind turbines: Opportunities and operational challenges
8. Inspection and maintenance for wind farms
9. Remote condition monitoring for wind energy systems
10. General NDT techniques: A summary
11. The application of acoustic emission as an effective condition monitoring technique
12. A brief overview of vibration analysis
13. The value of Long Range Ultrasonics
14. ROV applications
15. Effective automated control and its value
16. SCADA systems and effective data management
17. Future developments in NDT and Condition Monitoring
2. The significance of NDT and Condition Monitoring for the Wind Energy industry
3. Trends in maintenance strategies for wind energy assets
4. NDT and Condition Monitoring techniques for wind turbines
5. Online evaluation of wind turbine power converters
6. Wind turbine gearboxes: A case study
7. Onshore versus offshore wind turbines: Opportunities and operational challenges
8. Inspection and maintenance for wind farms
9. Remote condition monitoring for wind energy systems
10. General NDT techniques: A summary
11. The application of acoustic emission as an effective condition monitoring technique
12. A brief overview of vibration analysis
13. The value of Long Range Ultrasonics
14. ROV applications
15. Effective automated control and its value
16. SCADA systems and effective data management
17. Future developments in NDT and Condition Monitoring
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Accidents; Accuracy; Artificial neural networks; Autonomous unmanned vehicles; BEM Theory; Blade bearing fault diagnosis; Cloud computing; Composites; Condition monitoring system; Condition monitoring; Conditionmonitoring; Cross validation; Data analysis; Diagnostics; Dictionary design; Dynamic response analysis; Dynamic response; Energy production; Ensemble empirical mode decomposition (EEMD)Fault diagnosis; Failure detection; Failure rate; Failures and faults; False alarm; Fault diagnosis; Faults; Finite element analysis; Floating offshore wind turbine; Foundation monitoring system; Gearbox; Geothermal power project; Horizontal Axis wind turbine; Imperfect maintenance; Intrinsic mode function (IMF)Norm entropy (NE)Power converter; IoT; Kane's dynamics; K-fold cross-validation; K-NN; Machine learning classification; Machine learning; Maintenance management; Mooring chain; Multibody dynamics; Netpresent value; Neural networks; Non-destructive test; Normal behaviour models; Numerical simulation; Offshore wind farm; Offshorewind turbine; Perfect maintenance; Physical prior knowledge; Project valuation; Real options; Risk assessment; SCADA; SCADA-based fault detection; Scouring monitoring; Search algorithm; Selective maintenance; Sensors; Sequence data; Smart materials; Sound analysis; Sparse representation-based classification; Structural modeling and analysis; Structure health monitoring; Support vector machine; System identification; System reliability; Tuned mass damper; Uneven settlement monitoring; Vibration analysis; Wear estimation; WECS; Wind energy; Wind farm; Wind turbine drive train; Wind turbine; Wind turbines
1. Introduction
2. The significance of NDT and Condition Monitoring for the Wind Energy industry
3. Trends in maintenance strategies for wind energy assets
4. NDT and Condition Monitoring techniques for wind turbines
5. Online evaluation of wind turbine power converters
6. Wind turbine gearboxes: A case study
7. Onshore versus offshore wind turbines: Opportunities and operational challenges
8. Inspection and maintenance for wind farms
9. Remote condition monitoring for wind energy systems
10. General NDT techniques: A summary
11. The application of acoustic emission as an effective condition monitoring technique
12. A brief overview of vibration analysis
13. The value of Long Range Ultrasonics
14. ROV applications
15. Effective automated control and its value
16. SCADA systems and effective data management
17. Future developments in NDT and Condition Monitoring
2. The significance of NDT and Condition Monitoring for the Wind Energy industry
3. Trends in maintenance strategies for wind energy assets
4. NDT and Condition Monitoring techniques for wind turbines
5. Online evaluation of wind turbine power converters
6. Wind turbine gearboxes: A case study
7. Onshore versus offshore wind turbines: Opportunities and operational challenges
8. Inspection and maintenance for wind farms
9. Remote condition monitoring for wind energy systems
10. General NDT techniques: A summary
11. The application of acoustic emission as an effective condition monitoring technique
12. A brief overview of vibration analysis
13. The value of Long Range Ultrasonics
14. ROV applications
15. Effective automated control and its value
16. SCADA systems and effective data management
17. Future developments in NDT and Condition Monitoring
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Accidents; Accuracy; Artificial neural networks; Autonomous unmanned vehicles; BEM Theory; Blade bearing fault diagnosis; Cloud computing; Composites; Condition monitoring system; Condition monitoring; Conditionmonitoring; Cross validation; Data analysis; Diagnostics; Dictionary design; Dynamic response analysis; Dynamic response; Energy production; Ensemble empirical mode decomposition (EEMD)Fault diagnosis; Failure detection; Failure rate; Failures and faults; False alarm; Fault diagnosis; Faults; Finite element analysis; Floating offshore wind turbine; Foundation monitoring system; Gearbox; Geothermal power project; Horizontal Axis wind turbine; Imperfect maintenance; Intrinsic mode function (IMF)Norm entropy (NE)Power converter; IoT; Kane's dynamics; K-fold cross-validation; K-NN; Machine learning classification; Machine learning; Maintenance management; Mooring chain; Multibody dynamics; Netpresent value; Neural networks; Non-destructive test; Normal behaviour models; Numerical simulation; Offshore wind farm; Offshorewind turbine; Perfect maintenance; Physical prior knowledge; Project valuation; Real options; Risk assessment; SCADA; SCADA-based fault detection; Scouring monitoring; Search algorithm; Selective maintenance; Sensors; Sequence data; Smart materials; Sound analysis; Sparse representation-based classification; Structural modeling and analysis; Structure health monitoring; Support vector machine; System identification; System reliability; Tuned mass damper; Uneven settlement monitoring; Vibration analysis; Wear estimation; WECS; Wind energy; Wind farm; Wind turbine drive train; Wind turbine; Wind turbines
