ESP32 Predictive Maintenance Vibration Node — Monitor Machine Health with AI at the Edge

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Give your machines a voice before they break down. This kit lets you build a wireless sensor node that captures real-time vibration from motors, fans, or pumps, then runs on‑chip FFT analysis to detect abnormal patterns. The ESP32 trains on a few seconds of normal operation, then continuously compares new readings and publishes a health score over WiFi MQTT — exactly how modern factories transition from reactive to predictive maintenance.

What You'll Build

You’ll assemble a compact vibration monitor that mounts on rotating equipment. The ADXL345 accelerometer streams raw data, the ESP32 calculates frequency peaks and compares them to a trained baseline. A 0.96-inch OLED displays live FFT peaks and the health score, while two red LEDs flash when vibration crosses warning or critical thresholds. The node publishes sensor data to any MQTT broker, ready for Grafana or Node-RED dashboards.

What You'll Learn

• Sampling accelerometer data at high rates over I2C on the ESP32
• Computing FFT with ArduinoFFT to extract dominant vibration frequencies
• Training a simple baseline model from normal vibration and setting anomaly thresholds
• Configuring MQTT over WiFi to stream health scores and raw data to cloud platforms

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Designed for CBSE Class 11–12 students tackling AI and IoT capstone projects, B.Tech ECE/EEE undergraduates building industry-ready prototypes, and Smart India Hackathon teams working on predictive maintenance solutions. ATL tinkering labs can use it as a plug-and-play module to teach vibration analysis and edge AI concepts. It fits perfectly into any curriculum that needs hands-on Industry 4.0 experience.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.