Open AccessTelemetry data integrity monitoring system
Author(s) -
Viktoriya Berkholts,
Alexey Vulfin,
А.И. Фрид
Publication year - 2021
Publication title -
iop conference series materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1069/1/012003
Subject(s) - telemetry , computer science , object (grammar) , real time computing , data mining , artificial intelligence , telecommunications
The article presents a way to improve the system for monitoring the integrity of telemetric information received from a mobile object. The method is based on comparing telemetry information received from a mobile object and information generated by a model. The comparison is carried out on the basis of proximity metrics of technological time series using deep learning neural networks
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom