Vibration Signal Analysis for Predictive Maintenance Using IoT

An Educational and Accessible Approach to Industrial Vibration Analysis

Abstract

Predictive maintenance prevents failures and reduces costs. Vibration monitoring with sensors such as the MPU6050 makes it possible to detect problems before they worsen. Using an ESP32 and protocols like Modbus TCP, these sensors integrate with systems such as CODESYS. Platforms like Blynk and ThingSpeak make remote monitoring simple and accessible. This project uses FFT in C++ to analyze vibrations in real time, focusing on low-cost solutions. The proposal targets students and professionals, promoting applied knowledge. It also contributes to the UN Sustainable Development Goals by encouraging education, innovation, and sustainability.