Compressed Air Leakage Detection Using Acoustic Emissions with Neural Networks. Proceedings of the 49th International Congress and Exposition on Noise Control Engineering (Inter-Noise 2020), Seoul, South Korea. 2020.
The IDMT-ISA-Compressed-Air (IICA) dataset aims to foster research in compressed air leak detection with acoustic emissions in the audible hearing range with recordings of air leaks in a simulated industrial compressed air network. The dataset contains recordings of multiple leak types with different types of industrial background noises played via external loudspeakers at two different volumes during the recording process.
Leak Types:
Noise Types:
For each combination of leak and noise types, there were three recording sessions. During each session, four Earthworks M30 omnidirectional measurement microphones placed in different configurations recorded the acoustic emission of the compressed air network. Each recording session contains 128 files of 30 seconds each, corresponding to each combination of leak, noise and microphone.
See the above referenced paper and README contained with the data folder for further details.
The dataset is provided for evaluation purpose under the Creative Commons licence CC BY-NC-ND 4.0.
Authors: David Johnson, Jakob Kirner, Sascha Grollmisch, Judith Liebetrau (Fraunhofer IDMT)
Download Dataset: https://zenodo.org/record/7551606
Fraunhofer Institute for Digital Media Technology IDMT