Applying a Fisher autoencoder with a Gaussian mixture latent prior to CMAPSS aero-engine data yields visually separated latent clusters, but the claimed accuracy improvement is not measured.
A New Method for Fault Detection of Aero-engine Based on Isolation Forest,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Aero-engines Anomaly Detection using an Unsupervised Fisher Autoencoder
Applying a Fisher autoencoder with a Gaussian mixture latent prior to CMAPSS aero-engine data yields visually separated latent clusters, but the claimed accuracy improvement is not measured.