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A. Ghaznavi

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Open access Oct 2026

Machine Learning–Based Damage Pattern Discovery in Composite Pressure Vessels Using Acoustic Emission Signals

Ensuring the safety and reliability of hydrogen storage systems requires a detailed understanding of damage evolution in composite pressure vessels (CPVs). These structures experience complex degradation processes during service, which makes damage assessment particularly challenging. Acoustic emission (AE) monitoring...

A. Ghaznavi, B. Popiela, E. Kästle et al. · 0 citations

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