GPLA-12 is a new acoustic leakage dataset of gas pipelines involving 12 categories over 684 training/testing acoustic signals. The acoustic leakage signals were collected on the basis of an intact gas pipe system with external artificial leakages, and then preprocessed with structured tailoring which are turned into GPLA-12. GPLA-12 dedicates to serve as a feature learning dataset for time-series tasks and classifications.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
