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Note: Gaussian mixture model for event recognition in optical time-domain reflectometry based sensing systemsстатья
- Авторы: Fedorov A.K., Anufriev M.N., Zhirnov A.A., Stepanov K.V., Nesterov E.T., Namiot D.E., Karasik V.E., Pnev A.B.
- Журнал: Review of Scientific Instruments
- Том: 87
- Номер: 3
- Год издания: 2016
- Издательство: AIP Publishing
- Местоположение издательства: United States
- DOI: 10.1063/1.4944417
- Аннотация: We propose a novel approach to the recognition of particular classes of non-conventional events in signals from phase-sensitive optical time-domain-reflectometry-based sensors. Our algorithmic solution has two main features: filtering aimed at the de-nosing of signals and a Gaussian mixture model to cluster them. We test the proposed algorithm using experimentally measured signals. The results show that two classes of events can be distinguished with the best-case recognition probability close to 0.9 at sufficient numbers of training samples
- Добавил в систему: Намиот Дмитрий Евгеньевич