VLAIO-TETRA Predictive Maintenance for Non-Road Mobile Machinery


Project Objectives: Unleashing the Power of Mobile Data


Modern mobile machines—from massive trucks to farm equipment—are data centers on wheels!

They constantly generate a treasure trove of information shared via networks like CAN.

The problem? Most companies lack the know-how to efficiently capture, decipher, and analyze this data,

leaving its huge economic value untapped. We're solving that!


This project will demonstrate how to:


1) Real-Time Data Gold Rush: J1939 Monitoring Exploration
We are diving deep to find the best technological solutions commercially available today for reading

standardized CAN-bus data in real-time and centralizing the collection.We'll map out all the pros

and cons! If current solutions don't meet the tough operational realities, we will develop the missing

ieces and you get to freely adopt those developments after the project.


2) From Raw Data to Brilliant Predictions
We're researching the perfect combination of data and Probabilistic Machine Learning (PML) to deliver powerful, useful predictions, e.g., the remaining lifespan of a specific machine! We will build several complete data pipelines and release them as open source. We focus on PML because its built-in reliability makes it vastly superior for real-world operations


3) Technological Validation: Prove It!
Together with you (and other participating companies), we will develop relevant case studies where we demonstrate the power of everything above, from start to finish! We'll decide the type and depth of these cases together at the project launch.


4) Economic Validation: Show Me Money!


We’ll work with you to map out your most expensive operational failures as the start of our technological validation. Then, we’ll analyze the massive savings potential of a broad rollout of the technology demonstrated.
The final result? This project will definitely prove the economic added value of predictive maintenance for mobile machines, giving you a relevant and powerful operational and financial edge!

Who Should Join This Game-Changing Project?


We are calling all innovators across the entire value chain of data-driven predictive maintenance and non-road mobile machinery:


Operating the Machines:
• The Construction Sector: Operating high-value assets like cranes, asphalt pavers, aerial work platforms, and other heavy machinery.
• Logistics or Port Operations: Running fleets of vehicles such as forklifts, straddle carriers, and specialized terminal equipment.
• Machine Rental Companies: Managing and maintaining diverse, specialized hardware rental pools.


Servicing and Supporting the Machines:
• Service & Maintenance Providers: Companies specializing in the upkeep and repair of (non-road) mobile machines.


Enabling Technology:
• Solution Providers (Tech Innovators): Developers specializing in building new data-driven solutions, or those who develop and/or integrate hardware and software for industrial applications.
• Distributors and Suppliers: Providers of sensors, hardware, software, and other components relevant to achieving our predictive maintenance goals.
If your business touches the data, the machine, or the reliability of non-road mobile equipment, this project is built for you!

Interested? Feel free to reach out to 

Ivan De Boi

David Ceulemans

Kris Martens

This project is in collaboration with KdG -Onderzoekscentrum Duurzame Industrie (https://www.kdg.be/prema4mm) and was the result of AUHA Seed Fund. Read the complete article on this trajectory here.