Sensor and Component Fault Detection and Diagnosis for Hydraulic Machinery Integrating LSTM Autoencoder Detector and Diagnostic Classifiers

Anomaly occurrences in hydraulic machinery might lead to massive system shut down, jeopardizing the safety of the machinery and its surrounding human operator(s) and environment, and the severe economic implications following the faults and their associated damage. Hydraulics are mostly placed in ru...

Descripción completa

Detalles Bibliográficos
Autores principales: Mallak, Ahlam, Fathi, Madjid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827908/
https://www.ncbi.nlm.nih.gov/pubmed/33435428
http://dx.doi.org/10.3390/s21020433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827908/
https://www.ncbi.nlm.nih.gov/pubmed/33435428
http://dx.doi.org/10.3390/s21020433

Ejemplares similares