Guardians of the Galaxy: An Integrated On-Gorund/ On-Board AI System for Satellite Health Monitoring

Traditional satellite monitoring relies on limited on-board detection and time-consuming ground intervention. "Guardians of the Galaxy" proposes a groundbreaking AI-powered approach. This integraded on-ground/on-board system utilizes Machine Learning to achieve: Enhanced Anomaly Detection: Catch subtle issues missed by current methods. Autonomous Anomaly Resolution: Automatically fix minor recurring problems. Real-Time & Predictive Monitoring: Gain continuous insights and anticipate potential failures. Improved Efficiency & Lifespan: Reduce operational costs and extend satellite operation.

Publication Details

Journal
Digital Commons - USU (Utah State University)
Published
2024-08-08
Primary Topic
Bryophyte Studies and Records
Type
article
Field-Weighted Citation Impact
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article

Guardians of the Galaxy: An Integrated On-Gorund/ On-Board AI System for Satellite Health Monitoring

Digital Commons - USU (Utah State University)
Bryophyte Studies and Records
article

Guardians of the Galaxy: An Integrated On-Gorund/ On-Board AI System for Satellite Health Monitoring

article en

Abstract

Traditional satellite monitoring relies on limited on-board detection and time-consuming ground intervention. "Guardians of the Galaxy" proposes a groundbreaking AI-powered approach. This integraded on-ground/on-board system utilizes Machine Learning to achieve: Enhanced Anomaly Detection: Catch subtle issues missed by current methods. Autonomous Anomaly Resolution: Automatically fix minor recurring problems. Real-Time & Predictive Monitoring: Gain continuous insights and anticipate potential failures. Improved Efficiency & Lifespan: Reduce operational costs and extend satellite operation.

Digital Commons - USU (Utah State University)
Openalex Percentile: Top 26%
Bryophyte Studies and Records
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Guardians of the Galaxy: An Integrated On-Gorund/ On-Board AI System for Satellite Health Monitoring · Digital Commons - USU (Utah State University) (2024) | TGRS Research Map | TGRS