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A novel analytical model for evaluating the time-varying meshing stiffness of helical gears under irregular pitting failure

Archive of applied mechanics (1991), 2023-10, Vol.93 (10), p.3775-3795

2023

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A novel modeling method for evaluating the time-varying mesh stiffness of gears with pitting based on point cloud processing algorithm

Meccanica (Milan), 2023-07, Vol.58 (7), p.1465-1494

2023

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An EEG dataset for studying asynchronous steady-state visual evoked potential (SSVEP) based brain computer interfaces

Brain-apparatus communication, 2024-12, Vol.3 (1)

2024

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Vibration Characteristic Analysis of Cracked Gear Based on Time-varying Meshing Stiffness

Ji xie gong cheng xue bao, 2020, Vol.56 (17), p.108

2020

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2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing

Reliability engineering & system safety, 2021-12, Vol.216, p.108017, Article 108017

2021

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Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions

Reliability engineering & system safety, 2023-04, Vol.232, p.109076, Article 109076

2023

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An adaptive spectrum segmentation-based optimized VMD method and its application in rolling bearing fault diagnosis

Measurement science & technology, 2022-12, Vol.33 (12), p.125107

2022

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Rolling bearing fault diagnosis based on multi-channel convolution neural network and multi-scale clipping fusion data augmentation

Measurement : journal of the International Measurement Confederation, 2021-11, Vol.184, p.109885, Article 109885

2021

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Rolling bearing fault diagnosis based on information fusion and parallel lightweight convolutional network

Journal of manufacturing systems, 2022-10, Vol.65, p.811-821

2022

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General synchroextracting chirplet transform: Application to the rotor rub-impact fault diagnosis

Measurement : journal of the International Measurement Confederation, 2021-02, Vol.169, p.108523, Article 108523

2021

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Online diagnosis for rolling bearings based on multi-channel convolution and transfer learning

Measurement science & technology, 2022-11, Vol.33 (11), p.115116

2022

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A novel coupled array of multi-stable stochastic resonance under asymmetric trichotomous noise and its application in rolling bearing compound fault diagnosis

Applied acoustics, 2023-06, Vol.209, p.109405, Article 109405

2023

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A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery

Expert systems with applications, 2023-12, Vol.234, p.121058, Article 121058

2023

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An Intelligent Fault Diagnosis Method of Small Sample Bearing Based on Improved Auxiliary Classification Generative Adversarial Network

IEEE sensors journal, 2022-10, Vol.22 (20), p.19543-19555

2022

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An adaptive multiple time domain synchronous averaging method and its application in vibration signal feature enhancement

Measurement science & technology, 2022-05, Vol.33 (5), p.55004

2022

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A novel diagnostic framework based on vibration image encoding and multi-scale neural network

Expert systems with applications, 2024-10, Vol.251, p.124054, Article 124054

2024

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A hierarchical transformer-based adaptive metric and joint-learning network for few-shot rolling bearing fault diagnosis

Measurement science & technology, 2024-03, Vol.35 (3), p.35114

2024

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Research on Fault Diagnosis of Rolling Bearing Based on Lightweight Model with Multiscale Features

IEEE sensors journal, 2023-06, Vol.23 (12), p.1-1

2023

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Classification and identification of epileptic EEG signals based on signal enhancement

Biomedical signal processing and control, 2022-01, Vol.71, p.103248, Article 103248

2022

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Research on fault diagnosis method of MS-CNN rolling bearing based on local central moment discrepancy

Advanced engineering informatics, 2022-10, Vol.54, p.101797, Article 101797

2022

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A novel convolution network based on temporal attention fusion mechanism for remaining useful life prediction of rolling bearings

IEEE sensors journal, 2023-02, Vol.23 (4), p.1-1

2023

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Fault diagnosis of rolling bearing based on online transfer convolutional neural network

Applied acoustics, 2022-04, Vol.192, p.108703, Article 108703

2022

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Intelligent fault diagnosis scheme for rolling bearing based on domain adaptation in one dimensional feature matching

Applied soft computing, 2023-10, Vol.146, p.110669, Article 110669

2023

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Research on rolling bearing fault diagnosis method based on ARMA and optimized MOMEDA

Measurement : journal of the International Measurement Confederation, 2022-02, Vol.189, p.110465, Article 110465

2022

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Gearbox fault diagnosis based on generalized multivariate logarithmic regularization

Measurement science & technology, 2023-06, Vol.34 (6), p.65103

2023

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A novel analytical model for evaluating the time-varying meshing stiffness of helical gears under irregular pitting failure

A novel modeling method for evaluating the time-varying mesh stiffness of gears with pitting based on point cloud processing algorithm

An EEG dataset for studying asynchronous steady-state visual evoked potential (SSVEP) based brain computer interfaces

Vibration Characteristic Analysis of Cracked Gear Based on Time-varying Meshing Stiffness

2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing

Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions

An adaptive spectrum segmentation-based optimized VMD method and its application in rolling bearing fault diagnosis

Rolling bearing fault diagnosis based on multi-channel convolution neural network and multi-scale clipping fusion data augmentation

Rolling bearing fault diagnosis based on information fusion and parallel lightweight convolutional network

General synchroextracting chirplet transform: Application to the rotor rub-impact fault diagnosis

Online diagnosis for rolling bearings based on multi-channel convolution and transfer learning

A novel coupled array of multi-stable stochastic resonance under asymmetric trichotomous noise and its application in rolling bearing compound fault diagnosis

A novel generation network using feature fusion and guided adversarial learning for fault diagnosis of rotating machinery

An Intelligent Fault Diagnosis Method of Small Sample Bearing Based on Improved Auxiliary Classification Generative Adversarial Network

An adaptive multiple time domain synchronous averaging method and its application in vibration signal feature enhancement

A novel diagnostic framework based on vibration image encoding and multi-scale neural network

A hierarchical transformer-based adaptive metric and joint-learning network for few-shot rolling bearing fault diagnosis

Research on Fault Diagnosis of Rolling Bearing Based on Lightweight Model with Multiscale Features

Classification and identification of epileptic EEG signals based on signal enhancement

Research on fault diagnosis method of MS-CNN rolling bearing based on local central moment discrepancy

A novel convolution network based on temporal attention fusion mechanism for remaining useful life prediction of rolling bearings

Fault diagnosis of rolling bearing based on online transfer convolutional neural network

Intelligent fault diagnosis scheme for rolling bearing based on domain adaptation in one dimensional feature matching

Research on rolling bearing fault diagnosis method based on ARMA and optimized MOMEDA

Gearbox fault diagnosis based on generalized multivariate logarithmic regularization

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