RT info:eu-repo/semantics/conferenceObject
T1 A Gaussian Mixture Model-Hidden Markov Model (GMM-HMM)-based fiber optic surveillance system for pipeline integrity threat detection
A1 Tejedor Noguerales, Javier
A1 Macías Guarasa, Javier
A1 Fidalgo Martins, Hugo
A1 Martín López, Sonia
A1 González Herráez, Miguel
K1 Fiber optics sensors
K1 Pattern Recognition
K1 Electrónica
K1 Electronics
AB A pipeline integrity threat detection system using Distributed Acoustic Sensing and Artificial Intelligence (AI) is presented. The AI uses a combination of Gaussian Mixture Models and Hidden Markov Models (GMMs-HMMs), outperforming our former GMM-based system.
PB OSA Publishing
YR 2018
FD 2018-09-24
LK http://hdl.handle.net/10017/36467
UL http://hdl.handle.net/10017/36467
LA eng
NO 26th International Conference on Optical Fiber Sensors OFS-26, 24/09/2018-28/09/2018, Lausanne, Suiza.
NO European Commission
DS MINDS@UW
RD 19-abr-2024