Cargando…
A Convolutional Autoencoder Based Fault Diagnosis Method for a Hydraulic Solenoid Valve Considering Unknown Faults
The hydraulic solenoid valve is an essential electromechanical component used in various industries to control the flow rate, pressure, and direction of hydraulic fluid. However, these valves can fail due to factors like electrical issues, mechanical wear, contamination, seal failure, or improper as...
Autores principales: | Yoo, Seungjin, Jung, Joon Ha, Lee, Jai-Kyung, Shin, Sang Woo, Jang, Dal Sik |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459604/ https://www.ncbi.nlm.nih.gov/pubmed/37631784 http://dx.doi.org/10.3390/s23167249 |
Ejemplares similares
-
Improved Fault Diagnosis in Hydraulic Systems with Gated Convolutional Autoencoder and Partially Simulated Data
por: Gareev, Albert, et al.
Publicado: (2021) -
On Combining Convolutional Autoencoders and Support Vector Machines for Fault Detection in Industrial Textures
por: Tellaeche Iglesias, Alberto, et al.
Publicado: (2021) -
Sensor and Component Fault Detection and Diagnosis for Hydraulic Machinery Integrating LSTM Autoencoder Detector and Diagnostic Classifiers
por: Mallak, Ahlam, et al.
Publicado: (2021) -
Deep Convolutional Neural Network with Deconvolution
and a Deep Autoencoder for Fault Detection and Diagnosis
por: Kanno, Yasuhiro, et al.
Publicado: (2022) -
Transformer fault diagnosis using continuous sparse autoencoder
por: Wang, Lukun, et al.
Publicado: (2016)