What is it about?

MAGE turns satellite anomaly management into a structured process, helping novice teams, like university small satellite teams, with limited resources detect, diagnose, and resolve issues. It works with limited data, classifies anomalies for easier resolution and understanding of them, and was validated with real mission data. Its flexibility and incorporation of operator intent improves mission success and reliability.

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Why is it important?

MAGE is a helpful for novice teams, such as university small-satellite programs, which are often limited in budget, schedules, and expertise. It can work with incomplete data and avoids the biases of past experiences. Additionally, MAGE classifies anomalies to make it easier for the user to understand and fix them.

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This page is a summary of: A Model-Based Tool for Anomaly Management, January 2025, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/6.2025-2321.
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