@conference{8b692da79eb04081a6e57f5bb8a060b9,
title = "An Online Machine Learning Paradigm for Spacecraft Fault Detection",
author = "Nolan Coulter and Hever Moncayo",
note = "Abstract: Anomaly and threat detection is critical in space systems and the aerospace industry as missions become more complex requiring higher levels of autonomy. Threat Detection, Isolation, and Recovery (TDIR) involves the identification and prognostics relating to threats in the given system; these threats include subsystem failures, external environment disturbances, and cybersecurity attacks, all capable of endangering the normal operations of the spacecraft.; AIAA Scitech 2021 Forum ; Conference date: 11-01-2021",
year = "2021",
month = jan,
day = "11",
doi = "10.2514/6.2021-1339",
language = "American English",
}