Metodología integral para la limpieza y exploración de datos de telemetría en cuadricópteros: detección de valores faltantes y atípicos
DOI:
https://doi.org/10.36825/RITI.13.32.005Palabras clave:
Cuadricópteros, Telemetría, Limpieza de Datos, Análisis Exploratorio, Valores AtípicosResumen
Este estudio propone una metodología integral para la limpieza y análisis exploratorio de datos de telemetría provenientes de cuadricópteros, cuyo alto volumen y sensibilidad al ruido requieren un tratamiento riguroso para garantizar su fiabilidad. El objetivo es identificar y corregir valores faltantes y atípicos, así como caracterizar relaciones y distribuciones entre variables clave. Se emplearon técnicas estadísticas como interpolación, winsorización adaptativa y verificación visual, complementadas con análisis exploratorio mediante estadísticas descriptivas, correlaciones (Pearson, Spearman y parciales), información mutua y visualizaciones avanzadas (histogramas, scatter plots y pairplots). Los resultados muestran la eliminación total de valores extremos sin pérdida significativa de información, preservando la integridad estructural de las series temporales. El EDA reveló correlaciones moderadas a fuertes entre variables de motor y dependencias no lineales con las señales de sensores IMU, evidenciando patrones complejos relevantes para modelado posterior. Se concluye que la metodología ofrece un marco robusto, reproducible y aplicable en contextos similares, constituyendo una base sólida para estudios predictivos y de control en UAV. Futuras investigaciones integrarán modelos de aprendizaje automático explicables para capturar y explicar las interacciones detectadas.
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