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Univariate Exploratory Data Analysis of Satellite Telemetry
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  • MV RAMACHANDRA PRAVEEN,
  • SUSHABHAN CHOUDHURY,
  • PIYUSH KUCHHAL,
  • RAJESH SINGH,
  • PURNENDU SHEKHAR PANDEY,
  • ANTONINO GALLETTA
MV RAMACHANDRA PRAVEEN
University of Petroleum and Energy Studies
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SUSHABHAN CHOUDHURY
University of Petroleum and Energy Studies
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PIYUSH KUCHHAL
University of Petroleum and Energy Studies
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RAJESH SINGH
Uttaranchal Institute of Technology
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PURNENDU SHEKHAR PANDEY
GL Bajaj Institute of Management and Research
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ANTONINO GALLETTA
Universita degli Studi di Messina

Corresponding Author:angalletta@unime.it

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Abstract

Summary Large Low Earth Orbit satellite constellations require Machine Learning methods for enabling autonomy in health keeping of the satellites. Autonomy in health keeping entail’s fault detection, isolation and reconfiguration. However, prior to building model building, it becomes imperative to conduct Exploratory Data Analysis of the data to gain an intuition of data and to decide the best model. Univariate Exploratory data analysis has been carried out on a BUS CURRENT sensor of Electrical Power System of a Low Earth Orbit Satellite to gain an understanding of data. Various aspects of data like presence of outliers, sampling frequency, missing values, comparison of imputation methods to fill missing values seasonality and trend analysis, stationarity test on data, rolling mean, and auto correlation and partial auto correlation plots have been made and a detailed statistical analysis of results has been conducted.
11 Apr 2023Submitted to International Journal of Satellite Communications and Networking
11 Apr 2023Submission Checks Completed
11 Apr 2023Assigned to Editor
12 Apr 2023Reviewer(s) Assigned
19 Jul 2023Review(s) Completed, Editorial Evaluation Pending
19 Jul 2023Editorial Decision: Revise Major
16 Aug 20231st Revision Received
16 Aug 2023Submission Checks Completed
16 Aug 2023Assigned to Editor
16 Aug 2023Reviewer(s) Assigned
25 Aug 2023Review(s) Completed, Editorial Evaluation Pending
25 Aug 2023Editorial Decision: Accept