Review of Machine-Learning Techniques Applied to Structural Health Monitoring Systems for Building and Bridge Structures

Physics & Astronomy

• bridges (structures) 100%
• structural health monitoring 88%
• machine learning 83%
• preprocessing 27%
• pattern recognition 26%
• systems engineering 23%
• damage 15%
• performance 9%

Engineering & Materials Science

• Structural health monitoring 69%
• Machine learning 48%
• Condition monitoring 22%
• Parameter estimation 20%
• Learning algorithms 18%
• Feature extraction 16%
• Systems analysis 16%
• Uncertainty 13%

Chemistry

• Models (Physical) 90%
• Application 20%