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Predictive maintenance
for heavy vehicles

Predictive maintenance for heavy vehicles

Project to predict the risk of a breakdown depending on vehicle usage classification

Challenge

Project objectives:

Create heavy vehicle usage classifications
Predict the risk of a breakdown depending on usage classification
Perform preventive maintenance before a breakdown occurs
Limit the contagion effect

The project

Robust regressions and Bayesian inferences were used to develop algorithms to calculate the likelihood of a failure.

Results

A set of vehicle usage classifications was developed and the solution successfully generated breakdown predictions.

The models can also be used in decision-assistance scenarios like comparing fleet purchase vs. lease business models.

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Watch a product demo

Probayes demo - Autonomous vehicles and environmental perception

For autonomous vehicles to be safe, they have to be able to “see” their immediate surroundings in real time. Probayes has been working on environmental perception since 2005.

Probayes demo - Autonomous vehicles and environmental perception

For autonomous vehicles to be safe, they have to be able to “see” their immediate surroundings in real time. Probayes has been working on automotive environmental perception technology since 2005.