Predictive diagnosis services for the automotive industry
- /
- Success stories
- /
- Predictive diagnosis services for...
Vehicle manufacturers often lack comprehensive knowledge of a vehicle’s life after it leaves the manufacturer’s hands. A service that predicts failures could save time and money by analysing data from TEXA’s sensors, enabling part redesign and maintenance schedule modifications.
Start date: 01/11/2015
Duration in months: 18
Problem Description
Vehicle manufacturers generally have limited knowledge of a vehicle’s life once it leaves them. A service that can predict failures, mechanical problems or damage at the component level, and offer detailed information on these components, would be extremely valuable, saving time and money.
Goals
New services
Challenges
This service would gather and analyse data from TEXA’s sensors, which could be used to redesign parts and modify maintenance schedules. This type of analysis requires significant computing power.
Innovation results
Four Data Analytics prototype services were developed based on TEXA's On-Board Diagnostics systems. A Cloud HPC-powered workflow was developed to integrate into TEXA's existing automotive Data Analytics services, connecting the existing infrastructure to an HPC Cloud provider.
Business impact
TEXA anticipates a 1.2M€ net present value for new services using HPC-enabled workflows for fleet vehicle maintenance. T2I plans to apply these principles to other sectors, aiming for a 5% increase in commercial revenues from related services between 2018 and 2020.