Research on fault diagnosis method of planetary gearbox based on dynamic simulation and deep transfer learning

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Research on fault diagnosis method of planetary gearbox based on dynamic simulation and deep transfer learning ; volume:12 ; number:1 ; day:11 ; month:10 ; year:2022 ; pages:1-15 ; date:12.2022
Scientific reports ; 12, Heft 1 (11.10.2022), 1-15, 12.2022

Classification: Ingenieurwissenschaften und Maschinenbau

Creator: Song, Meng-Meng
Xiong, Zi-Cheng
Zhong, Jian-Hua
Xiao, Shun-Gen
Tang, Yao-Hong

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-022-21339-5

URN: urn:nbn:de:101:1-2022122821102363605011

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:36 AM CEST

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Song, Meng-Meng
Xiong, Zi-Cheng
Zhong, Jian-Hua
Xiao, Shun-Gen
Tang, Yao-Hong
SpringerLink (Online service)

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Research on fault diagnosis method of planetary gearbox based on dynamic simulation and deep transfer learning

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Other Objects (12)

A multi-fault diagnosis method of gear-box running on edge equipment

Crack Fault Classification for Planetary Gearbox Based on Feature Selection Technique and K-means Clustering Method

Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning

Fault diagnosis of gearbox based on Fourier Bessel EWT and manifold regularization ELM

A dynamic-model-based fault diagnosis method for a wind turbine planetary gearbox using a deep learning network

A novel intelligent fault diagnosis method for gearbox based on multi-dimensional attention denoising convolution

Research on gearbox temperature field image fault diagnosis method based on transfer learning and deep belief network

Balance Sparse Decomposition Method with Nonconvex Regularization for Gearbox Fault Diagnosis

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Numerical and experimental investigations on the vibration behavior of a high-speed planetary gearbox

Simulative investigation of ring creep on a planetary bearing of a wind turbine gearbox

Simulative investigation of ring creep on a planetary bearing of a wind turbine gearbox

A multi-fault diagnosis method of gear-box running on edge equipment

Crack Fault Classification for Planetary Gearbox Based on Feature Selection Technique and K-means Clustering Method

Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning

Fault diagnosis of gearbox based on Fourier Bessel EWT and manifold regularization ELM

A dynamic-model-based fault diagnosis method for a wind turbine planetary gearbox using a deep learning network

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Simulative investigation of ring creep on a planetary bearing of a wind turbine gearbox

Simulative investigation of ring creep on a planetary bearing of a wind turbine gearbox

A multi-fault diagnosis method of gear-box running on edge equipment

Crack Fault Classification for Planetary Gearbox Based on Feature Selection Technique and K-means Clustering Method

Gearbox fault diagnosis method based on lightweight channel attention mechanism and transfer learning

Fault diagnosis of gearbox based on Fourier Bessel EWT and manifold regularization ELM

A dynamic-model-based fault diagnosis method for a wind turbine planetary gearbox using a deep learning network

A novel intelligent fault diagnosis method for gearbox based on multi-dimensional attention denoising convolution

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Balance Sparse Decomposition Method with Nonconvex Regularization for Gearbox Fault Diagnosis

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