Extensive testing has shown significant results including detection of faults up to 21 days before vehicles were signaling a DTC (Diagnostic Trouble Code) and providing fleet managers with insight up to 90 days ahead of a possible vehicle failure preventing avoidable downtime and reducing the risk of the issue escalating to multiple systems over this time.
With a dongle placed on the vehicle in partnership with our Telematics Service Providers, Garrett accesses signal and CAN data.
Garrett’s sophisticated diagnostic tools interpret and analyze all the incoming signals. Through complex algorithms Garrett EWS interprets and analyses system and sub-system behavior in near real time whilst the vehicle is running. Garrett EWS will signal any anomalies and predictions directly to the fleet manager with clear visibility on the vehicle health and failure risks.
Garrett EWS is designed for the fleet manager with alerts on vehicles at risk and easy visual representation of vehicle behavior across the entire fleet. Garrett EWS is available on OBD2, J1939 supporting both passenger and commercial vehicles
The Pillars of EWS
Detection: Garrett EWS analyses data from the vehicle telematics and identifies a problem in the vehicle behavior near-time. An anomaly can be detected due to a change in the behavior of a mechanical part or a change in fluid e.g. fuel type.
Diagnostics: Garrett EWS pinpoints the issue location, notifies the fleet manager and stores the data history for easy visualization in the garage. Real time fault diagnostics reduces the need to replicate the fault increasing first time fix and reduce time off the road.
Prognostics: Driver and vehicle behavior is analyzed using Physics based models (PBM), Artificial Intelligence (AI) and Machine Learning enabling fault prediction from 2 up to 90 days before a critical fault. Reduce unplanned downtime through scheduled maintenance.
Service Management: Garrett EWS compiles a full fault and DTC history including the ability to produce reports of vehicle behavior at the time of the fault. Instantly compare pre and post-fix data.
Garrett EWS also provides follow-up on the repair and produces the evidence in case of a wrong or failed repair.
Remaining Useful Life: Garrett EWS predicts how many miles & how much time is left from a specific component until it needs to be replaced.
Fault predictions: Garrett EWS determines if a specific component is prone to failures in an immediate time frame (2-90 days).
Health scoring: Garrett EWS predicts if a certain component will have an important health degradation in a foreseeable time frame and whether it can affect other systems.
With different vehicle systems and subsystems producing different types of faults, Garrett EWS runs specific prediction algorithms depending on the system type.
The Garrett EWS platform is fully developed on cloud technology enabling easy on-boarding of all fleet types and sizes with the platform expanding to fleet and analytic needs.
The Garrett EWS platform runs Machine learning (ML), Artificial Intelligence (AI) and Physics based Modeling (PBM) that allow the platform to continuously ingest and learn the characteristics and context of each vehicle in your fleet.