A Data-Driven Framework for Unsupervised Monitoring of Transmission Systems Using End-of-Line Testing Data: A Case Study at Ford Motor Company
cs.LG, stat.AP, stat.CO
Submitted: 2026-10-04
Updated: 2026-10-04
Sources
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- MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing
- Adam: A Method for Stochastic Optimization
- Tensor-on-tensor Regression Neural Networks for Process Modeling with High-dimensional Data
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