Sensors and Data Analysis in SHM
( 30 Modules )

Module #1
Introduction to Structural Health Monitoring (SHM)
Overview of SHM, importance, and applications

Module #2
Sensors in SHM
Types of sensors used in SHM, advantages, and limitations

Module #3
Sensor Selection and Placement
Criteria for selecting and placing sensors for effective SHM

Module #4
Sensor Calibration and Validation
Importance and methods for calibrating and validating sensors

Module #5
Sensor Data Acquisition Systems
Overview of data acquisition systems for SHM sensors

Module #6
Introduction to Data Analysis in SHM
Overview of data analysis in SHM, importance, and techniques

Module #7
Time Series Analysis
Basic concepts of time series analysis, including filtering and decomposition

Module #8
Frequency Domain Analysis
Introduction to frequency domain analysis, including FFT and spectrograms

Module #9
Data Preprocessing and Feature Extraction
Methods for preprocessing and feature extraction in SHM data

Module #10
Introduction to Machine Learning in SHM
Overview of machine learning in SHM, including supervised and unsupervised learning

Module #11
Modal Analysis
Theory and application of modal analysis in SHM

Module #12
System Identification
Methods for system identification in SHM, including parametric and non-parametric approaches

Module #13
Damage Detection and Localization
Techniques for damage detection and localization in SHM

Module #14
Data Fusion and Integration
Methods for fusing and integrating data from multiple sensors and sources

Module #15
Uncertainty Quantification in SHM
Importance and methods for quantifying uncertainty in SHM data and results

Module #16
SHM for Bridges
Applications of SHM for bridge health monitoring

Module #17
SHM for Buildings
Applications of SHM for building health monitoring

Module #18
SHM for Aerospace and Defense
Applications of SHM in aerospace and defense industries

Module #19
SHM for Offshore Platforms
Applications of SHM for offshore platform health monitoring

Module #20
Case Studies in SHM
Real-world examples and case studies of SHM applications

Module #21
Advanced Sensing Technologies in SHM
Emerging sensing technologies and their applications in SHM

Module #22
Future Directions in SHM
Trends, challenges, and future directions in SHM research and applications

Module #23
Laboratory Exercise 1:Sensor Calibration and Validation
Hands-on exercise for sensor calibration and validation

Module #24
Laboratory Exercise 2:Data Analysis using Python
Hands-on exercise for data analysis using Python

Module #25
Group Project:SHM System Design and Development
Group project for designing and developing an SHM system

Module #26
Review of SHM Fundamentals
Review of key concepts in SHM

Module #27
Review of Data Analysis Techniques
Review of data analysis techniques in SHM

Module #28
Review of Advanced Topics
Review of advanced topics in SHM

Module #29
Midterm Assessment
Midterm assessment of student understanding

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Sensors and Data Analysis in SHM career

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Sensors and Data Analysis in SHM ( 30 Modules )

Sensors and Data Analysis in SHM
( 30 Modules )