Development of a Vibroacoustic Eeffects Detector for a Phase-sensitive Optical time Domain Reflectometer Using Convolutional Neural Networks

Student: Prokopenko Sergey

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Control Systems and Data Processing in Engineering (Master)

Year of Graduation: 2019

In the final qualifying work, the tasks of applying a distributed vibroacoustic sensor based on the principle of coherent phase-sensitive reflectometry. The physical principles of coherent reflectometry and data processing methods for obtaining information on vibro-acoustic effects and temperature changes are described. Full cycle recognition solutions for vibroacoustic effects, source data and data analysis.

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