Diagnose Bearing Wear, Imbalance & Misalignment with the Pi 5 Vibration Signature Analyser Kit

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

Industrial motors fail gradually - early vibration signatures hide in high-frequency noise. This kit puts a dual-ADXL355 vibration sensor array on a Raspberry Pi 5, capturing 20 kHz data streams that you'll feed into a Convolutional Neural Network trained to classify bearing wear, imbalance, and misalignment. The result: a portable, AI-driven analyser that predicts failure weeks before a maintenance shutdown.

What You'll Build

You'll assemble a high-speed vibration data acquisition system that streams precision accelerometer data to NVMe storage, then train a CNN model to distinguish between healthy and faulty motor conditions. Mount the dual sensors on a test motor (or use included sample datasets) and watch as the analyser identifies fault types with over 92% accuracy. The final output is a real-time dashboard showing classification results, ready for predictive maintenance workflows.

What You'll Learn

• High-speed data acquisition from industrial MEMS accelerometers (ADXL355 at 20 kHz)
• Designing and training a 1D Convolutional Neural Network for time-series classification
• Preprocessing vibration signals: FFT, spectrograms, and feature extraction
• Deploying the trained model on Raspberry Pi 5 for edge inference and real-time fault diagnosis

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

Ideal for B.Tech ECE/EEE students working on predictive maintenance capstone projects, Smart India Hackathon teams tackling Industry 4.0 challenges, and CBSE Class 12 students exploring AI for real-world sensing. Also perfect for faculty-led ATL Tinkering Labs and hobbyists who've outgrown basic Arduino kits and want to apply deep learning to industrial signals.

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.