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1-6 of 6 results for compound fault decoupling

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Select article: IGFT-MHCNN: An intelligent diagnostic model for motor compound faults based decoupling and denoising of multi-source vibration signals

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Research article

First published 2025-5

IGFT-MHCNN: An intelligent diagnostic model for motor compound faults based decoupling and denoising of multi-source vibration signals

Xiaoyun Gong, Zeheng Zhi, Yiyuan Gao [...]

Journal of Vibration and Control

Select article: Multivariate comb mode decomposition and its application in mechanical compound fault diagnosis

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First published 2026

Multivariate comb mode decomposition and its application in mechanical compound fault diagnosis

Xianbin Zheng, Zhengyang Cheng, Junsheng Cheng [...]

Structural Health Monitoring

Select article: Compound fault diagnosis of rolling bearing under variable speed based on generalized demodulation transformation and symplectic geometric mode decomposition

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First published 2023-6

Compound fault diagnosis of rolling bearing under variable speed based on generalized demodulation transformation and symplectic geometric mode decomposition

Ping Ma, Zhou Zhang, Hongli Zhang [...]

Journal of Vibration and Control

Select article: Adaptive dynamic mode decomposition and its application in rolling bearing compound fault diagnosis

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Research article

First published 2023-1

Adaptive dynamic mode decomposition and its application in rolling bearing compound fault diagnosis

Ping Ma, Hongli Zhang, Cong Wang

Structural Health Monitoring

Select article: Decoupled and quantified detection of bearing spall-like faults using strain gauge array

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Research article

First published 2025

Decoupled and quantified detection of bearing spall-like faults using strain gauge array

Yu Hou, Xi Wang, Di Yang

Structural Health Monitoring

Select article: Vibrational resonance mechanism in the high-order-degradation bistable system and its application in fault diagnosis

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First published 2025-1

Vibrational resonance mechanism in the high-order-degradation bistable system and its application in fault diagnosis

Haitao Xu, Shengxi Zhou

Structural Health Monitoring

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