Cargando…
A Novel End-To-End Feature Selection and Diagnosis Method for Rotating Machinery
Feature selection is to obtain effective features from data, also known as feature engineering. Traditional feature selection and predictive model learning are separated, and there is a problem of inconsistency of criteria. This paper presents an end-to-end feature selection and diagnosis method tha...
Autores principales: | Wang, Gang, Zhao, Yang, Zhang, Jiasi, Ning, Yongjie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999413/ https://www.ncbi.nlm.nih.gov/pubmed/33804053 http://dx.doi.org/10.3390/s21062056 |
Ejemplares similares
-
A Novel Method for Fault Diagnosis of Rotating Machinery
por: Tang, Meng, et al.
Publicado: (2022) -
A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
por: Guo, Sheng, et al.
Publicado: (2018) -
Fault Diagnosis for Rotating Machinery: A Method based on Image Processing
por: Lu, Chen, et al.
Publicado: (2016) -
A Multimodal Feature Fusion-Based Deep Learning Method for Online Fault Diagnosis of Rotating Machinery
por: Zhou, Funa, et al.
Publicado: (2018) -
An Imbalanced Fault Diagnosis Method Based on TFFO and CNN for Rotating Machinery
por: Zhang, Long, et al.
Publicado: (2022)