Vibration Monitoring and Analysis System

Authors

  • Gabriel Coelho Crispi UniFacens
  • Guilherme Savassa Bernal UniFacens
  • Guilherme Siqueira de Grado Pereira UniFacens
  • João Vitor Michel Silva UniFacens
  • Lucas Garcia Fragoso UniFacens
  • Pedro Gabriel dos Santos UniFacens
  • Rafael Rodrigues da Paz UniFacens
  • Centro Universitário Facens UniFacens
  • Eduardo Galvão Leite das Chagas UniFacens

Keywords:

Vibration Analysis, Predictive Maintenance, Actionable Diagnostics, Sustainability

Abstract

The project presents a low-cost system focused on Predictive Maintenance and the Internet of Things (IoT), designed for the early detection of equipment anomalies. The system uses an ESP32 microcontroller to convert raw vibration pulses, captured by a sensor, into actionable diagnostics.
Its main differentiator is the use of a Real-Time Operating System (FreeRTOS). This architecture ensures predictable analysis, allowing the capture of critical data to never be interrupted by concurrent tasks, such as the web interface. The system processes the data, classifies the severity of vibrations, and provides instant analysis through LEDs and a local web server.

Published

2026-03-25

How to Cite

COELHO CRISPI , Gabriel; SAVASSA BERNAL, Guilherme; SIQUEIRA DE GRADO PEREIRA, Guilherme; MICHEL SILVA, João Vitor; GARCIA FRAGOSO, Lucas; DOS SANTOS, Pedro Gabriel; RODRIGUES DA PAZ, Rafael; CENTRO UNIVERSITÁRIO FACENS; GALVÃO LEITE DAS CHAGAS, Eduardo. Vibration Monitoring and Analysis System. Journal of Innovation and Science: research and application, [S. l.], v. 5, n. 2, 2026. Disponível em: https://joins.emnuvens.com.br/joins/article/view/1193. Acesso em: 11 may. 2026.