Cargando…
Multi-Factor Operating Condition Recognition Using 1D Convolutional Long Short-Term Network
For a diesel engine, operating conditions have extreme importance in fault detection and diagnosis. Limited to various special circumstances, the multi-factor operating conditions of a diesel engine are difficult to measure, and the demand of automatic condition recognition based on vibration signal...
Autores principales: | Jiang, Zhinong, Lai, Yuehua, Zhang, Jinjie, Zhao, Haipeng, Mao, Zhiwei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960879/ https://www.ncbi.nlm.nih.gov/pubmed/31842440 http://dx.doi.org/10.3390/s19245488 |
Ejemplares similares
-
A New Fault Diagnosis Method for a Diesel Engine Based on an Optimized Vibration Mel Frequency under Multiple Operation Conditions
por: Zhao, Haipeng, et al.
Publicado: (2019) -
A Variational Stacked Autoencoder with Harmony Search Optimizer for Valve Train Fault Diagnosis of Diesel Engine †
por: Chen, Kun, et al.
Publicado: (2019) -
Multimode Gesture Recognition Algorithm Based on Convolutional Long Short-Term Memory Network
por: Lu, Ming-Xing, et al.
Publicado: (2022) -
Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory
por: Fraiwan, M., et al.
Publicado: (2021) -
Recognition Method of Massage Techniques Based on Attention Mechanism and Convolutional Long Short-Term Memory Neural Network
por: Zhu, Shengding, et al.
Publicado: (2022)