Search Results for author: Mark Tascillo

Found 1 papers, 0 papers with code

Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data

no code implementations15 Feb 2022 Anthony Geglio, Eisa Hedayati, Mark Tascillo, Dyche Anderson, Jonathan Barker, Timothy C. Havens

A fully convolutional autoencoder is developed for the detection of anomalies in multi-sensor vehicle drive-cycle data from the powertrain domain.

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