We propose a multi-objective autoencoder method for fault detection and diagnosis in multi-way data based on the reconstruction error of autoencoder deep ...
Mar 11, 2020 · We propose a multi-objective variational autoencoder (MVA) method for smart infrastructure damage detection and diagnosis in multi-way sensing ...
Sep 20, 2022 · We propose a multi-objective variational autoencoder (MO-VAE) method for smart infrastructure damage detection and diagnosis in multi-way sensing data.
Dec 15, 2022 · This paper aims to present a comprehensive review of AE-based industrial applications, which mainly includes two parts: AE-based representation learning and ...
The simple autoencoder trains the model with only normal data and evaluates input variables to detect rare faults for anomaly detection. The faulty data, ...
Autoencoder-driven fault detection and diagnosis is proposed for building systems. Two approaches (residual-based and latent space-based) are compared.
Missing: Objective Order
Sep 20, 2022 · It generates probabilistic anomaly scores to detect damage, asses its severity and further localize it via a new localization layer introduced ...
Jun 12, 2024 · When a fault occurs, the autoencoder strives to accurately reconstruct faulty data, leading to a higher error. The detection of a ...
This study proposes a multi-head de-noising autoencoder-based multi-task model for robust diagnosis of REBs under various speed conditions.
Mar 11, 2020 · We propose a multi-objective variational autoencoder (MVA) method for smart infrastructure damage detection and diagnosis in multi-way sensing ...
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