Technical Paper
The usage of connected vehicle data combined with data analytics methods on the quality impacting factors mapping for engine and transmission mounts
2023-02-10
2022-36-0067
With the improvement of connectivity technologies, and the increase of data exchange capacity and cloud technologies, the usage of connected vehicle data by automakers is growing fast, and it represents an exciting, multi-faceted and high-growth area in the data analytics development – enabling a myriad of new possibilities, by including but not limited to: predicting failures in parts, accelerating issue detection and resolution, improve design validation, calibration updates over the air, advanced navigation assistance, passenger entertainment. The aim of this work is to present the process, methodologies and tools adopted in the implementation of an unsupervised machine learning solution based on data collected from connected vehicles whose main objective will be support the analysis of usage severity of the engine and transmission mounts parts of the vehicle.
