AI-based Signal Integrity Monitoring for Integrated Vehicle Health Management
Published 2021 · S. Apartsin, H. Stein, G. Reiter
ELIV 2021
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Abstract
As vehicle warranty claims, recalls, and maintenance costs continue to grow, new methods are needed to predict, detect, and diagnose vehicle health issues. By integrating artificial intelligence (AI) technology into the vehicle’s embedded electronics, automakers and fleet owners can benefit from highly effective and adaptable vehicle health management capabilities that are not available today. This paper will describe how embedded AI-based Signal Integrity Monitoring can be used to detect complex anomalous patterns and provide signal fault isolation. It will also describe how unsupervised deep learning technology can simplify the data collection and labeling process that is needed to train the AI-based VHM models.