Predictive Motor Failure Vibration Classifier Kit with ESP32 + MPU6050
Predict Motor Failures in Real-Time with the ESP32-S3 Vibration Classifier 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.
You attach a sensor to a running motor, capture vibration patterns at 200 samples per second, process spectral features on-device, and your ESP32-S3 instantly identifies whether the motor is healthy, unbalanced, or suffering a bearing fault. This is a complete hands-on introduction to Industry 4.0 predictive maintenance, turning raw acceleration data into actionable fault decisions using a trained machine learning model.
What You'll Build
A portable, battery-operable diagnostic tool that clamps onto industrial or lab motors. It streams triaxial vibration data, extracts frequency-domain signatures, runs an Edge Impulse neural network, and shows the fault class on its OLED screen while timestamping every inference to a microSD card. You will hold a working prototype that maintenance engineers use every day to prevent unplanned downtime.
What You'll Learn
- Collect and preprocess high-frequency vibration data from a MPU6050 accelerometer
- Extract spectral features — FFT bins, power bands — and feed them into a classifier model
- Train a TinyML model on Edge Impulse and deploy it onto an ESP32-S3 for real-time inference
- Integrate RTC-based logging, OLED display, and SD card storage into a field-ready monitoring device
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | 1 |
| MPU6050 | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| 0.96in OLED | 1 |
| 4.7kΩ Resistors | 5 |
| 100nF Caps | 10 |
| PCB Prototype Board | 2 |
| M-F Wires | 20 |
| Micro USB Cable | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
Designed for CBSE Class 11-12 students building interdisciplinary physics-AI projects, B.Tech ECE/EEE students crafting Smart India Hackathon prototypes, and ATL Tinkering Lab mentors guiding advanced sensor integrations. If you are an IIT, NIT, VIT or BITS student pursuing a mini or capstone project in industrial IoT, this kit gives you the entire hardware pipeline and pre-trained AI model to demonstrate real-world condition monitoring.
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.
What if I get stuck during the build?
Scan the QR code inside the box to start a conversation with your AI companion trained on every connection and calibration step of this kit; you can also message us on WhatsApp for a quick answer within hours.
Do I need prior machine learning experience?
No. The AI companion walks you through Edge Impulse setup, data collection, and model training, so you will learn the entire workflow without any prior ML background.
Can I collect my own motor vibration data?
Absolutely. The kit includes mounting hardware and instructions to attach the MPU6050 securely to any small-to-medium motor. You can record normal, imbalance, and bearing-fault data to train an even more accurate custom model.
What types of motors can I test with this kit?
Induction motors, DC motors, stepper motors — any rotating machine where you can fix the sensor rigidly and measure vibrations in the sensor’s full-scale range. The provided spectral feature pipeline works best with motors running between 600 and 3000 RPM.
MPU6050 at 200Hz feeds Edge Impulse spectral features model. Classifies normal, imbalance or bearing fault.
What's in this kit
Choose your assembly option:
- Soldering Kit — 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo — 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items