Structural vibration testing & structural health monitoring
Main sequence with three decomposition analyses.
Demonstrates signal decomposition methods for change detection in structural monitoring. A signal generator creates a synthetic time series from trend, periodic and noise components, which is decomposed by three methods and compared directly: singular spectrum analysis (SSA) separates trend, two periodic components and noise; Hilbert-Huang transform (HHT) and discrete wavelet transform (DWT) each extract the trend component. The trend components are additionally evaluated through an envelope.
Workflows in detail
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Structural Vibration Testing
Main sequence with three decomposition analyses.
Start → signal generator (time series with trend, periodicity, noise) → SSA analysis → HHT analysis → DWT analysis → end; error flow present.
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Singular Spectrum Analysis
Complete decomposition through SSA.
Characteristic start → SSA trend → SSA periodicity 1 → SSA periodicity 2 → SSA noise → envelope of the trend → characteristic end.
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Hilbert-Huang transform
Trend extraction through HHT.
Characteristic start → HHT trend → envelope → characteristic end.
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Discrete wavelet transform
Trend extraction through DWT.
Characteristic start → DWT trend → characteristic end.
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