Trade-Space Exploration With Data Preprocessing and Machine Learning for Satellite Anomalies Reliability Classification

Satellite reliability is critical to ensuring uninterrupted operations in aerospace systems, where anomalies can lead to mission failures and significant economic losses. Existing anomaly classification methods often lack scalability, interpretability, and adaptability to diverse datasets. This stud...

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Bibliografiske detaljer

Principais autores:	Abdul Mutholib, Nadirah Abdul Rahim, Teddy Surya Gunawan, Mira Kartiwi
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Satellite anomaly detection satellite reliability classification trade-space exploration data preprocessing techniques machine learning models seradata dataset
Online adgang:	https://ieeexplore.ieee.org/document/10892033/
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