Frequency Domain Signal Processing and Analysis
Frequency domain analysis is crucial for understanding the dynamics of civil engineering structures by revealing underlying periodicities and resonance. The chapter discusses principles of frequency analysis, the importance of tools like the Fourier Transform, and applications in diagnostics and environmental monitoring. It also highlights methods to enhance signal clarity, detect issues, and effectively combine data for deeper insights.
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Sections
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What we have learnt
- Frequency domain analysis reveals dominant frequencies and hidden patterns in data.
- The Fourier Transform and its algorithms are essential for transforming time-domain signals to frequency domain.
- Combining frequency analysis techniques can enhance detailed understanding and diagnostics of structural health.
Key Concepts
- -- Signal
- A function describing how a physical quantity varies over time, such as acceleration or strain.
- -- Spectrum
- The representation of signal energy versus frequency, showing how energy is distributed across different frequencies.
- -- Fourier Transform
- A mathematical operation that transforms a time-domain signal into its frequency domain representation.
- -- Power Spectral Density (PSD)
- A representation of the power distribution of a signal per unit frequency over the frequency range.
- -- Modal Analysis
- A technique to identify unmeasured dynamic characteristics of structures from frequency analysis.
Additional Learning Materials
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