TensorFlow Predictive Maintenance Node
TensorFlow Predictive Maintenance Node Kit for Arduino Portenta X8 — Train AI Models on 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.
Industrial machines fail without warning, causing downtime that costs lakhs per hour. This kit empowers you to build a node that monitors vibration and current signatures, trains a TensorFlow model on the Linux A53 core of the Portenta X8, and then runs real-time inference on the M4 microcontroller to predict failures before they happen. You’ll create a DIN-rail-mounted predictive maintenance system that logs data to SD card and timestamps events with an RTC.
What You'll Build
You’ll assemble and program a industrial-grade predictive maintenance node. Dual ADXL345 accelerometers capture 3-axis vibration data from a motor or pump, while the ACS712 current sensor monitors load. The Portenta X8’s Linux side trains a TensorFlow model on collected patterns, and the trained model is deployed to the M4 core for live anomaly detection. Enclosed in a DIN rail case, it’s ready for pilot deployment on your factory floor.
What You'll Learn
- Train a TensorFlow time-series model on the Portenta X8’s Linux A53 processor
- Convert and deploy a TensorFlow Lite Micro model to the M4 core for real-time inference
- Fuse vibration and current sensor data to detect early bearing wear or imbalance
- Design a robust industrial IoT node with logging, RTC timestamping, and regulated power
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Portenta X8 | 1 |
| Portenta Max Carrier | 1 |
| ADXL345 Accel | 2 |
| ACS712 20A | 1 |
| DS3231 RTC | 1 |
| MicroSD Module | 1 |
| LM2596 Buck Converter | 1 |
| 100nF Caps | 10 |
| PCB Prototype Board | 2 |
| DIN Rail Enclosure | 1 |
| 24V 3A PSU | 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
This kit is built for final-year B.Tech and M.Tech students in ECE, EEE, and CS departments at IITs, NITs, and BITS Pilani tackling industry-sponsored predictive maintenance projects. It’s equally relevant for R&D engineers in Indian manufacturing firms prototyping low-cost condition monitoring, and for Smart India Hackathon teams building AI-driven solutions for rotating equipment. Startups in the industrial IoT space will find it a ready-to-customize reference design.
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?
The AI companion offers step-by-step debugging; you can also send a WhatsApp message for human support.
Do I need prior experience with TensorFlow?
You should be comfortable with Python and the basics of machine learning. The kit provides all scripts and model training code.
Can I use this node on a 3-phase motor?
Yes, with additional current transformers. The ACS712 handles single-phase up to 20A; adapt for higher loads.
Does the kit include a display or cloud connectivity?
No display is included; you transmit data via the Portenta’s Ethernet or Wi-Fi to any cloud dashboard.
TensorFlow on Linux A53 trains on vibration + current data. M4 runs inference model on new data in real time.
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