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Battery Health Quantification for TDRS Spacecraft by Using Signature Discriminability MeasurementThe NASA/GSFC Space Network Project Office (SN) currently operates a constellation of ten geosynchronous TDRS spacecraft launched over the past 30 years. The SN project collects up to 16.5 Gigabytes of telemetry every month. Generally, the spacecraft health and functionality are obtained by the use of real-time telemetry data for the multiple spacecraft subsystems, which are transmitted to the main ground station at the White Sands Complex in Las Cruces, NM. Recently, the SN has instituted a program of Big Data to analyze the large amounts of data using a variety of tools including Machine Learning, Artificial Intelligence, development of training sets, and a variety of mathematical modeling tools. The goal is to improve spacecraft management and obtain a more accurate prediction of the spacecraft end of life. The combination of these efforts with those of the Aerospace Corporation, which has a contract with the SN to produce yearly reliability estimates for the TDRS fleet, will be performed. This paper presents a new concept called telemetry quality quantification (TQQ) and discusses the progress that has been made in battery performance estimation for the second-generation TDRS spacecraft using a signature discriminability measures (SDM) algorithm combined with the Aerospace Corp. battery life estimation models. This activity is important because many of the TDRS fleet of spacecraft have exceeded their on-orbit design lifetime and, therefore, NASA must carefully manage the spacecraft to continue operations while avoiding an end-of-mission scenario that leaves a non-functioning spacecraft in geosynchronous orbit.
Document ID
20200001625
Document Type
Presentation
Authors
Ma, Kenneth Y. (Peraton Inc. Herndon, VA, United States)
Montoro, Manuel (Peraton Inc. Herndon, VA, United States)
Shaw, Harry (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Williams, Tom (Peraton Inc. Herndon, VA, United States)
Woods, Lawrence (Peraton Inc. Herndon, VA, United States)
Zimmerman, Albert (Aerospace Corp. El Segundo, CA, United States)
Steele, Jonathon (Peraton Inc. Herndon, VA, United States)
Cunnif, David (Peraton Inc. Herndon, VA, United States)
Bonacci, Carissa Brealey (Peraton Inc. Herndon, VA, United States)
Miller, Ronald (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Safavi, Haleh (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
March 16, 2020
Publication Date
March 7, 2020
Subject Category
Space Communications, Spacecraft Communications, Command and Tracking
Report/Patent Number
GSFC-E-DAA-TN78849
Meeting Information
IEEE Aerospace(Big Sky, MT)
Funding Number(s)
CONTRACT_GRANT: 80GSFC19C0063
Distribution Limits
Public
Copyright
Public Use Permitted.

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