Ana Fernandez-Navamuel Del Olmo, PhD.

Engineering

1. Deep Learning Method 100%
2. Structural Health Monitoring 77%
3. Damage Scenario 75%
4. Deep Neural Network 60%
5. Learning Approach 58%
6. Damage Location 50%
7. Autoencoder 45%
8. Full Scale 45%
9. Bridge Structure 41%
10. Damage Detection 41%
11. Principal Components 37%
12. Component Analysis 37%
13. Outlier Detection 37%
14. Railway 37%
15. Railway Bridge 33%
16. Finite Element Modeling 33%
17. Learning System 32%
18. Real Data 29%
19. Applicability 27%
20. Performance Indicator 25%
21. Mode Shape 25%
22. Finite Element Simulation 25%
23. Local Variable 25%
24. Floating Offshore Wind Turbine 25%
25. Offshore Wind Farms 25%
26. Control Systems 25%
27. Sensor Data 25%
28. Monitoring System 25%
29. Support Vector Machine 25%
30. Computer Simulation 25%
31. Bridge Type 25%
32. Structure Type 25%
33. Operational Condition 25%
34. Frequency Domain 20%
35. Metrics 20%
36. Machine Learning Technique 20%
37. Detection Task 16%
38. Machine Learning Algorithm 16%
39. Eigenfrequencies 16%
40. Monitoring Data 16%
41. Modal Parameter 16%
42. Nodes 14%
43. Displacement Measurement 12%
44. Maintenance Strategy 12%
45. Bridge Management 12%
46. Fixed Points 12%
47. Maintenance Action 12%
48. Provide Support 12%
49. Horizontal Displacement 12%
50. Regressors 12%