Tecnologías inteligentes aplicadas a la ingeniería electromecánica: simulación, lot, inteligencia artificial y automatización para la transformación digital

Autores/as

Jorge Alberto Cárdenas Magaña
Instituto Tecnológico José Mario Molina Pasquel y Henríquez, UA Tamazula
https://orcid.org/0000-0001-9114-8550
Francisco Miguel Hernández López
Instituto Tecnológico José Mario Molina Pasquel y Henríquez, UA Tamazula
https://orcid.org/0000-0001-9546-0445
Juan Pablo Mojica Sánchez
Instituto Tecnológico José Mario Molina Pasquel y Henríquez, UA Tamazula
https://orcid.org/0000-0003-2561-9689
Sergio Sandoval Pérez
Instituto Tecnológico de Ciudad Guzmán
https://orcid.org/0000-0002-7328-1793

Sinopsis

La transformación digital está modificando la forma en que se diseñan, analizan, supervisan y optimizan los sistemas electromecánicos. En este escenario, la integración de tecnologías como la simulación computacional, la programación, el Internet de las Cosas (IoT), el monitoreo inteligente, la inteligencia artificial y la automatización genera nuevas posibilidades para desarrollar sistemas más conectados, eficientes y adaptativos.

El libro Tecnologías Inteligentes Aplicadas a la Ingeniería Electromecánica: Simulación, IoT, Inteligencia Artificial y Automatización para la Transformación Digital presenta una visión integral de esta evolución tecnológica. El primer capítulo aborda los fundamentos de la transformación digital; el segundo analiza la simulación como herramienta para el diseño, análisis y optimización; el tercero examina la programación y los sistemas embebidos; el cuarto estudia el Internet de las Cosas aplicado al monitoreo electromecánico; y el quinto aborda la inteligencia artificial, incluyendo aprendizaje automático, aprendizaje profundo, visión artificial y Edge AI. A lo largo de la obra se destaca que el potencial de estas tecnologías surge de su integración, permitiendo transformar los datos generados por sistemas físicos en información útil para apoyar la toma de decisiones. Esta convergencia ofrece oportunidades para mejorar la eficiencia energética, la confiabilidad, el mantenimiento, la automatización y la sostenibilidad de los sistemas electromecánicos. La obra está dirigida a estudiantes, docentes, investigadores y profesionales de la ingeniería electromecánica y áreas afines interesados en comprender y aplicar tecnologías inteligentes en el contexto de la transformación digital industrial.

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Biografía del autor/a

Jorge Alberto Cárdenas Magaña, Instituto Tecnológico José Mario Molina Pasquel y Henríquez, UA Tamazula

Ingeniero eléctrico por el Tecnológico Nacional de México Campus Guzmán, con dos maestrías: una en Diseño, Gestión y Dirección de Proyectos por la Universidad Internacional Iberoamericana, y otra en Energías Renovables por Universidad Europea del Atlántico, Doctor en Ingeniería Aplicada por el Colegio de Formación Educativa Tenam. Perfil Prodep y pertenece al Cuerpo Académico en Consolidación “Agrotecnología” (ITJMMPH-CA-19). Es Profesor Titular A en el Instituto Tecnológico José Mario Molina Pasquel y Henríquez, Unidad Académica Tamazula. Ha registrado varias patentes y registros de software ante indautor, y ha publicados artículos de investigación en áreas afines a eficiencia eléctrica, biotecnología, manufactura y electrónica.

Francisco Miguel Hernández López, Instituto Tecnológico José Mario Molina Pasquel y Henríquez, UA Tamazula

Ingeniero Electromecánico con Maestría y Doctorado en Enseñanza de las Matemáticas. Profesor Investigador del Instituto Tecnológico José Mario Molina Pasquel y Henríquez, Unidad Académica Tamazula; profesor de Matemáticas en la Universidad de Guadalajara y docente del Doctorado en Enseñanza y Didáctica de las Matemáticas en la Universidad de las Américas y el Caribe. Líder del Cuerpo Académico en Consolidación “Agrotecnología” (ITJMMPH-CA-19), miembro del Sistema Nacional de Investigadoras e Investigadore SNII, con Perfil Deseable PRODEP y asesor de tesis doctorales. Ha colaborado en la evaluación de proyectos de la SECIHTI, asesorías en competencias nacionales e internacionales, Veranos Científicos del TecNM y comités editoriales académicos. Ha publicado artículos y capítulos de libro en automatización, robótica y educación matemática.

Juan Pablo Mojica Sánchez, Instituto Tecnológico José Mario Molina Pasquel y Henríquez, UA Tamazula

El Dr. Juan Pablo Mojica Sánchez es Doctor en Ciencias Químicas con especialidad en Química Computacional y Teórica por la Universidad de Colima. Cuenta con reconocimiento al Perfil Deseable PRODEP y pertenece al Sistema Nacional de Investigadoras e Investigadores (SNII) y a el Cuerpo Académico en Consolidación “Agrotecnología” (ITJMMPH-CA-19). Sus líneas de investigación se enfocan en química computacional, modelado molecular, teoría del funcional de la densidad (DFT), nanomateriales, adsorción molecular e innovación agrícola sustentable. Ha participado en publicaciones científicas indexadas y en diversos foros nacionales e internacionales. Actualmente se desempeña como Profesor-Investigador del TecNM/ITJMMPyH UA Tamazula.

Sergio Sandoval Pérez, Instituto Tecnológico de Ciudad Guzmán

El Dr. Sergio Sandoval Pérez labora en el Instituto Tecnológico de Ciudad Guzmán, perteneciente al Tecnológico Nacional de México, donde participa en los programas de Ingeniería y Maestría en Electrónica. Cuenta con el reconocimiento de Perfil Deseable PRODEP y es miembro del Sistema Nacional de Investigadoras e Investigadores (SNII). Actualmente desarrolla líneas de investigación relacionadas con algoritmos de control vehicular y sus aplicaciones en la autonomía automotriz. Asimismo, ha realizado trabajos sobre fuentes renovables de energía y el diseño de aplicaciones con realidad aumentada orientadas a la capacitación y enseñanza de conceptos de electrónica básica.

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agosto 25, 2026

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Cárdenas Magaña, J. A. ., Hernández López, F. M. ., Mojica Sánchez, J. P. ., & Sandoval Pérez, S. . (2026). Tecnologías inteligentes aplicadas a la ingeniería electromecánica: simulación, lot, inteligencia artificial y automatización para la transformación digital. Editorial Sinergy. https://doi.org/10.5281/zenodo.23348794