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Machine learning methods for spacecraft telemetry mining
Spacecrafts are critical systems that have to survive space environment effects. Due to its
complexity, these types of systems are designed in a way to mitigate errors and maneuver …
complexity, these types of systems are designed in a way to mitigate errors and maneuver …
[HTML][HTML] Machine learning techniques for satellite fault diagnosis
Satellites are known as a remotely operated systems with high degree of complexity due to
large number of interconnected devices onboard the satellite. Consequently, it has …
large number of interconnected devices onboard the satellite. Consequently, it has …
[PDF][PDF] Prediction of telemetry data using machine learning techniques
Satellites are categorized as highly complex remotely operated systems due to much-
connected equipment aboard. Satellites contain many telemetry data, requiring operators …
connected equipment aboard. Satellites contain many telemetry data, requiring operators …
Современные методы машинного обучения для анализа технического состояния космических аппаратов по данным телеметрической информации
ПА Мухачёв, TР Садретдинов, ДА Притыкин… - Автоматика и …, 2021 - mathnet.ru
Приводится обзор основных достижений в области методов интеллектуального
анализа данных о техническом состоянии космических аппаратов (КА). Основной …
анализа данных о техническом состоянии космических аппаратов (КА). Основной …
[PDF][PDF] Spacecraft performance analysis and fault diagnosis using telemetry-mining
SKM Ibrahim - 2018 - researchgate.net
Nowadays, satellites have been, increasingly, a demanding instrument for spacebased
services. Satellites are operated remotely with no possibility for in-site access; which makes …
services. Satellites are operated remotely with no possibility for in-site access; which makes …
Modern machine learning methods for telemetry-based spacecraft health monitoring
We survey the progress in data mining methods for spacecraft health monitoring. The main
emphasis is placed on the analysis of telemetry data enabling the identification of spacecraft …
emphasis is placed on the analysis of telemetry data enabling the identification of spacecraft …
[PDF][PDF] A new control chart based on discriminant analysis for simple linear profiles monitoring
In many processes, quality characteristic is identified by the regression relationship between
one or more dependent variables and one or more independent variables called profile. In …
one or more dependent variables and one or more independent variables called profile. In …
Classification of multi-failure mechanisms in space operations in using novel PLS-DA approach
The article addresses an innovative statistical classification methodology to the real
spacecraft telemetry based on statistical multivariate latent technique called projection to …
spacecraft telemetry based on statistical multivariate latent technique called projection to …