Fault Detection and Diagnosis Using Combined Autoencoder and Long Short-Term Memory Network

Fault Detection and Diagnosis Using Combined Autoencoder and Long Short-Term Memory Network

Fault detection and diagnosis is one of the most critical components of preventing accidents and ensuring the system safety of industrial processes. In this paper, we propose an integrated learning approach for jointly achieving fault detection and fault diagnosis of rare events in multivariate time...

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Bibliographic Details
Main Authors: Pangun Park, Piergiuseppe Di Marco, Hyejeon Shin, Junseong Bang
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
autoencoder
long short-term memory
rare event
fault detection
fault diagnosis
time delay
Online Access:https://www.mdpi.com/1424-8220/19/21/4612

Internet

https://www.mdpi.com/1424-8220/19/21/4612

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