Acoustic resonance testing (ART)
Main test sequence in an endless loop with product-specific defect detection.
Non-destructive defect detection on brake discs through acoustic resonance testing: a microphone signal is acquired through a signal trigger and conditioned — band-pass filtering to produce a quasi-monofrequent signal, FFT and Hilbert transform. Two product variants have their own evaluation workflows that calculate damping ratio and frequency position of the resonances as characteristics; one variant additionally uses peak detection and envelope analysis. The product is selected inside the sequence through the product chooser.
Workflows in detail
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Acoustic Resonance Testing
Main test sequence in an endless loop with product-specific defect detection.
Start → endless loop (start trigger → product selection → signal trigger microphone → microphone measurement → signal preprocessing → defect detection variant 1 → defect detection variant 2 → store) → end; error flow with a 5 s timer and device restart.
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Signal Preprocessing
Characteristic block for signal conditioning.
Characteristic start → band-pass filter → FFT → Hilbert transform → characteristic end.
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Defect detection (2 variants)
Product-specific evaluation through damping and resonance position.
Characteristic start → damping ratio → frequency position (→ variant 2 additionally: peak detection → envelope) → characteristic end.
Take it with you
Import through the SonicTC DbManager — individually or merged into an existing database.
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