Evolución científica y tendencias del procesamiento digital de señales en el diagnóstico de fallas eléctricas: Un análisis bibliométrico (2019-2025)
DOI:
https://doi.org/10.62776/rse.v2i2.55Palabras clave:
Procesamiento Digital de Señales, diagnóstico de fallas eléctricas, bibliometría, Inteligencia artificialResumen
El Procesamiento Digital de Señales (DSP) ha cobrado creciente relevancia en el diagnóstico de fallas eléctricas, particularmente en un contexto de transformación digital de los sistemas eléctricos. En este marco, el presente estudio tiene como objetivo analizar los patrones y tendencias de la producción científica sobre DSP aplicado al diagnóstico de fallas entre 2019 y 2025, mediante un enfoque bibliométrico. Para ello, se analizaron 1,063 documentos recuperados de la base de datos Scopus utilizando herramientas como Bibliometrix (R-Studio) y VOSviewer. Se evidencio un crecimiento sostenido en la producción académica, articulado en tres etapas: ajuste, expansión y consolidación. Se identificó un núcleo reducido de autores altamente productivos (Lotka), así como un conjunto de revistas especializadas que concentran la diseminación temática (Bradford). China, India y Corea del Sur lideran en volumen de publicaciones, configurando una hegemonía investigativa asiática. Desde una perspectiva temática, se evidenció una convergencia metodológica hacia el uso de transformadas tiempo–frecuencias combinadas con inteligencia artificial, y un desarrollo semántico interdisciplinario anclado en ingeniería eléctrica, ciencias computacionales y energía. El estudio proporciona una visión integral de la evolución científica del campo, aportando insumos estratégicos para investigadores y tomadores de decisiones. Entre las limitaciones se encuentra el uso exclusivo de Scopus y el análisis centrado en metadatos. Se sugiere como línea futura la incorporación de análisis cualitativos y otras bases de datos.
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