Time series diffusion method: A denoising diffusion probabilistic model for vibration signal generation-Reference-Cited by-同舟云学术

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Time series diffusion method: A denoising diffusion probabilistic model for vibration signal generation

Published:2024-07 Issue: Volume:216 Page:111481
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Yi Haiming,Hou Lei^ORCID,Jin Yuhong,Saeed Nasser A.^ORCID,Kandil Ali^ORCID,Duan Hao

Publisher

Elsevier BV

Reference53 articles.

1. Condition monitoring and fault diagnosis of electrical motors—A review;Nandi;IEEE Trans. Energy Convers.,2005

2. Initial center frequency-guided VMD for fault diagnosis of rotating machines;Jiang;J. Sound Vib.,2018

3. Fault diagnosis of angle grinders and electric impact drills using acoustic signals;Glowacz;Appl. Acoust.,2021

4. A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing;Yan;Neurocomputing,2018

5. Radial versus cartesian control strategies to stabilize the nonlinear whirling motion of the Six-Pole Rotor-AMBs;Saeed;IEEE Access,2020

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1. Ambulatory ECG noise reduction algorithm for conditional diffusion model based on multi-kernel convolutional transformer;Review of Scientific Instruments;2024-09-01

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