Machine learning and acoustic method applied to leak detection and location in low-pressure gas pipelines

Machine learning and acoustic method applied to leak detection and location in low-pressure gas pipelines

R.P. da Cruz, F.V. da Silva, A.M.F. Fileti

ARTIGO

Inglês

Abstract: The increase in pipeline safety would prevent incidents that can result in fatalities, environmental disasters, and economic losses. The present work proposes a technique that combines acoustic sensors and machine learning algorithms to identify and locate leakages in low-pressure gas...

Fechado

Machine learning and acoustic method applied to leak detection and location in low-pressure gas pipelines

R.P. da Cruz, F.V. da Silva, A.M.F. Fileti


										

Machine learning and acoustic method applied to leak detection and location in low-pressure gas pipelines

R.P. da Cruz, F.V. da Silva, A.M.F. Fileti

    Fontes

    Clean technologies and environmental policy: focusing on technology research, innovation, demonstration, insights and policy issues for sustainable technologies

    Vol. 22 (Jan., 2020), p. 627-638