Detect Pump Failures Before They Happen — Build a Predictive Maintenance Station with Raspberry Pi 5

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 pump failures often start silently — cavitation erodes impellers, bearings degrade, blockages overload the motor. With this kit, you’ll build a system that catches those early warning signs by reading the motor’s own current waveform. Using a Raspberry Pi 5, you capture and analyse real‑time current draw to identify the subtle signature changes that precede costly downtime. It’s a hands‑on entry into AI‑driven industrial IoT, designed to run inference directly on the edge without relying on cloud servers.

What You'll Build

You assemble a complete predictive maintenance monitor: the Pi 5 logs ACS712 current sensor data through a high‑resolution ADS1115 ADC, stores waveforms on a fast NVMe SSD, and runs a lightweight machine learning model that classifies normal operation, cavitation, bearing wear, and blockage. The unit can send alerts or log events locally, giving you a self‑contained health dashboard for any 12V pump.

What You'll Learn

• Interface a current sensor and high‑precision ADC with the Raspberry Pi 5 GPIO
• Sample and process current waveform data for feature extraction
• Train and deploy a miniature ML classifier for anomaly detection on the edge
• Set up NVMe storage for high‑speed data logging and model persistence

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

B.Tech ECE/EEE students working on final‑year industrial IoT or machine learning projects will find the pipeline ready for experimentation. Smart India Hackathon participants can adapt it for predictive maintenance themes. ATL Tinkering Lab members, as well as students from IIT, NIT, VIT, and BITS campuses who want a practical edge‑AI build, will gain direct experience with current signature analysis — a technique used in real‑world Industry 4.0 deployments.

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.