Energy Threshold Detection in Neutronic Signal by Automatic Classification and Linear Programming - Cnam - Conservatoire national des arts et métiers
Communication Dans Un Congrès Année : 2015

Energy Threshold Detection in Neutronic Signal by Automatic Classification and Linear Programming

Résumé

It is proposed in this paper the automatic detection thresholds in the neutronic noise from a nuclear reactor chamber. The proposed method combines a pattern recognition algorithm, known as dynamic cluster and a linear programming algorithm. Euclidean distance, often adopted by default, in the dynamic cluster algorithm; is here replaced by the distance L 1 , also called least absolute deviations (LAD).
Fichier principal
Vignette du fichier
WCE2015_pp86-89.pdf (2.21 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-02464414 , version 1 (11-02-2020)

Identifiants

  • HAL Id : hal-02464414 , version 1

Citer

Philippe Durand, Luan Jaupi, Dariush Ghorbanzadeh. Energy Threshold Detection in Neutronic Signal by Automatic Classification and Linear Programming. World Congress on Engineering 2015, IAENG, Jul 2015, London, United Kingdom. pp.86-89. ⟨hal-02464414⟩
57 Consultations
60 Téléchargements

Partager

More