Optical Sensor Behavior Prediction Using Lstm Neural Network

Mohamed A. S. Zaghloul,Amr M. Hassan,David Carpenter,Pattrick Calderoni,Joshua Daw,Kevin P. Chen

2019 IEEE PHOTONICS CONFERENCE (IPC)（2019）

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摘要

Optical fiber-based-sensors proved capable of enduring various harsh environments. Long-short-term memory (LSTM) neural-networks are often used for datasets with long-dependences. Here, rare FBG measurements collected from a neutron reactor core were used to build a neural-network capable of predicting the future events inside the reactor.

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关键词

Fiber Bragg grating, nuclear reactor core measurements, long-short-term memory, recurrent neural networks

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