A novel intelligent bearing fault diagnosis method based on signal process and multi-kernel joint distribution adaptation
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A novel intelligent bearing fault diagnosis method based on signal process and multi-kernel joint distribution adaptation ; volume:13 ; number:1 ; day:20 ; month:3 ; year:2023 ; pages:1-16 ; date:12.2023
Scientific reports ; 13, Heft 1 (20.3.2023), 1-16, 12.2023
- Creator
-
Xiong, Jundi
Cui, Shihai
Tang, Haihong
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-31648-y
- URN
-
urn:nbn:de:101:1-2023080821021708106131
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:49 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Xiong, Jundi
- Cui, Shihai
- Tang, Haihong
- SpringerLink (Online service)
Other Objects (12)
A motor bearing fault diagnosis model based on multi-adversarial domain adaptation
Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis
Fault diagnosis of wind turbine bearing based on stochastic subspace identification and multi-kernel support vector machine
Correction to: Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis
HUST bearing: a practical dataset for ball bearing fault diagnosis
Intelligent speed adaptation : Expertenstatements
Frequency Loss and Recovery in Rolling Bearing Fault Detection
Rolling bearing fault diagnosis based on quantum LS-SVM
Intelligent system for fault diagnosis in automotive applications
Bearing fault detection by using graph autoencoder and ensemble learning
Improved Multi-Bandwidth Mode Manifold for Enhanced Bearing Fault Diagnosis
M-Net: a novel unsupervised domain adaptation framework based on multi-kernel maximum mean discrepancy for fault diagnosis of rotating machinery
A motor bearing fault diagnosis model based on multi-adversarial domain adaptation
Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis
Fault diagnosis of wind turbine bearing based on stochastic subspace identification and multi-kernel support vector machine
Correction to: Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis
HUST bearing: a practical dataset for ball bearing fault diagnosis
Intelligent speed adaptation : Expertenstatements
Frequency Loss and Recovery in Rolling Bearing Fault Detection
Rolling bearing fault diagnosis based on quantum LS-SVM
Intelligent system for fault diagnosis in automotive applications
Bearing fault detection by using graph autoencoder and ensemble learning
Improved Multi-Bandwidth Mode Manifold for Enhanced Bearing Fault Diagnosis
M-Net: a novel unsupervised domain adaptation framework based on multi-kernel maximum mean discrepancy for fault diagnosis of rotating machinery
A motor bearing fault diagnosis model based on multi-adversarial domain adaptation
Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis
Fault diagnosis of wind turbine bearing based on stochastic subspace identification and multi-kernel support vector machine
Correction to: Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis
HUST bearing: a practical dataset for ball bearing fault diagnosis
Intelligent speed adaptation : Expertenstatements
Frequency Loss and Recovery in Rolling Bearing Fault Detection
Rolling bearing fault diagnosis based on quantum LS-SVM
Intelligent system for fault diagnosis in automotive applications
Bearing fault detection by using graph autoencoder and ensemble learning
Improved Multi-Bandwidth Mode Manifold for Enhanced Bearing Fault Diagnosis