17.5 - Data Processing Techniques in SHM
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What does FFT stand for in signal processing?
💡 Hint: Think of frequency analysis.
Name one advantage of the Wavelet Transform.
💡 Hint: Remember that it helps detect changes at different scales.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of signal processing in SHM?
💡 Hint: Think about how we interpret sensor information.
True or False: Wavelet Transform allows for multi-resolution analysis.
💡 Hint: Consider its ability to adjust analysis depending on signal characteristics.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design an automated SHM system that uses both FFT and neural networks. Outline its key components and workflow.
💡 Hint: Think of the flow of data from collection to alert generation.
Provide a detailed explanation of the differences between FFT and Wavelet Transform with practical examples.
💡 Hint: Use concrete examples, such as how each method would reveal different information about vibration data.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.