A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection

Author:

Fu Song,Zhong Shisheng,Lin Lin,Zhao Minghang

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference38 articles.

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2. Variational autoencoder based anomaly detection using reconstruction probability;An;Spec. Lect. IE,2015

3. Clustering and unsupervised anomaly detection with L2 normalized deep auto-encoder representations;Aytekin,2018

4. Fault detection and diagnosis algorithms for transient state of an open-cycle liquid rocket engine using nonlinear Kalman filter methods;Cha;Acta Astronaut.,2019

5. Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier;Costa;Neurocomputing,2015

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