Hierarchical cavitation intensity recognition using Sub-Master Transition Network-based acoustic signals in pipeline systems

Shuiping Gou, Yu Sha, Bo Liu, Ningtao Liu, Johannes Faber, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou

Abstract: Highlights•A hierarchical knowledge sub-master transition network for cavitation recognition.•A global filter layer is used for long-term interactions in frequency domain space.•1D double hierarchical residual block with large kernel to extract critical features.•Our method has been tested on three sound cavitation datasets provided by SAMSON AG.•The effect of different sampling rate of acoustic signals on our method is studied.