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A New Family of Model-Based Impulsive Wavelets and Their Sparse Representation for Rolling Bearing Fault Diagnosis

IEEE transactions on industrial electronics (1982), 2018-03, Vol.65 (3), p.2716-2726

Qin, Yi

2018

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Vibration Images-Driven Fault Diagnosis Based on CNN and Transfer Learning of Rolling Bearing under Strong Noise

Shock and vibration, 2021, Vol.2021 (1)

2021

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Zinc-Based Biomaterials for Regeneration and Therapy

Trends in biotechnology (Regular ed.), 2019-04, Vol.37 (4), p.428-441

2019

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Fault Diagnosis for Bearing Based on 1DCNN and LSTM

Shock and vibration, 2021, Vol.2021 (1)

2021

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An Integrated Bearing Fault Diagnosis Method Based on Multibranch SKNet and Enhanced Inception-ResNet-v2

Shock and vibration, 2024, Vol.2024, p.1-21

2024

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A systematic review of deep transfer learning for machinery fault diagnosis

Neurocomputing (Amsterdam), 2020-09, Vol.407, p.121-135

2020

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Inhibition of ferroptosis attenuates tissue damage and improves long‐term outcomes after traumatic brain injury in mice

CNS neuroscience & therapeutics, 2019-04, Vol.25 (4), p.465-475

2019

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Cavitation Analysis in Centrifugal Pumps Based on Vibration Bispectrum and Transfer Learning

Shock and vibration, 2021, Vol.2021 (1)

2021

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Bearing Remaining Useful Life Prediction Based on AdCNN and CWGAN under Few Samples

Shock and vibration, 2022-06, Vol.2022, p.1-17

2022

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Multiworking Conditions Anomaly Detection of Mechanical System Based on Conditional Variational Auto-Encoder

Shock and vibration, 2023, Vol.2023, p.1-14

2023

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Research on Fault Diagnosis Method Based on Improved CNN

Shock and vibration, 2022-12, Vol.2022, p.1-15

2022

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Fault Diagnosis of Rotating Machinery Based on Evolutionary Convolutional Neural Network

Shock and vibration, 2022-10, Vol.2022, p.1-9

2022

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A Unified Analysis for the Free Vibration of the Sandwich Piezoelectric Laminated Beam with General Boundary Conditions under the Thermal Environment

Shock and vibration, 2021-01, Vol.2021 (1)

2021

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A New Transfer Learning Ensemble Model with New Training Methods for Gear Wear Particle Recognition

Shock and vibration, 2022, Vol.2022, p.1-10

2022

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Enhanced sampling in molecular dynamics

The Journal of chemical physics, 2019-08, Vol.151 (7), p.070902-070902

2019

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The Novel Successive Variational Mode Decomposition and Weighted Regularized Extreme Learning Machine for Fault Diagnosis of Automobile Gearbox

Shock and vibration, 2021, Vol.2021 (1)

2021

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Damage Identification of Wind-Break Wall Structures based on the Further Updated Wavelet Packet Frequency Bands Energy Ratio Spectrum

Shock and vibration, 2022, Vol.2022, p.1-15

2022

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A Two-Step Damage Diagnostic Approach Based on Static Strain Energy and Model-Updating via the Equilibrium Optimizer

Shock and vibration, 2022, Vol.2022, p.1-16

2022

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Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method

Shock and vibration, 2021, Vol.2021 (1)

2021

Volltextzugriff (PDF)

Enhanced cytocompatibility and antibacterial property of zinc phosphate coating on biodegradable zinc materials

Acta biomaterialia, 2019-10, Vol.98, p.174-185

2019

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Condition-Based Monitoring on High-Precision Gearbox for Robotic Applications

Shock and vibration, 2022-01, Vol.2022, p.1-15

2022

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A Novel Sparse Enhancement Neural Network for Rolling Bearing Fault Diagnosis

Shock and vibration, 2022, Vol.2022, p.1-12

2022

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Fault Diagnosis of Axle Box Bearing with Acoustic Signal Based on Chirplet Transform and Support Vector Machine

Shock and vibration, 2022-01, Vol.2022, p.1-12

2022

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Intelligent Fault Diagnosis of Machines Based on Adaptive Transfer Density Peaks Search Clustering

Shock and vibration, 2021, Vol.2021 (1)

2021

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Evolution of metallic cardiovascular stent materials: A comparative study among stainless steel, magnesium and zinc

Biomaterials, 2020-02, Vol.230, p.119641-119641, Article 119641

2020

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A New Family of Model-Based Impulsive Wavelets and Their Sparse Representation for Rolling Bearing Fault Diagnosis

Vibration Images-Driven Fault Diagnosis Based on CNN and Transfer Learning of Rolling Bearing under Strong Noise

Zinc-Based Biomaterials for Regeneration and Therapy

Fault Diagnosis for Bearing Based on 1DCNN and LSTM

An Integrated Bearing Fault Diagnosis Method Based on Multibranch SKNet and Enhanced Inception-ResNet-v2

A systematic review of deep transfer learning for machinery fault diagnosis

Inhibition of ferroptosis attenuates tissue damage and improves long‐term outcomes after traumatic brain injury in mice

Cavitation Analysis in Centrifugal Pumps Based on Vibration Bispectrum and Transfer Learning

Bearing Remaining Useful Life Prediction Based on AdCNN and CWGAN under Few Samples

Multiworking Conditions Anomaly Detection of Mechanical System Based on Conditional Variational Auto-Encoder

Research on Fault Diagnosis Method Based on Improved CNN

Fault Diagnosis of Rotating Machinery Based on Evolutionary Convolutional Neural Network

A Unified Analysis for the Free Vibration of the Sandwich Piezoelectric Laminated Beam with General Boundary Conditions under the Thermal Environment

A New Transfer Learning Ensemble Model with New Training Methods for Gear Wear Particle Recognition

Enhanced sampling in molecular dynamics

The Novel Successive Variational Mode Decomposition and Weighted Regularized Extreme Learning Machine for Fault Diagnosis of Automobile Gearbox

Damage Identification of Wind-Break Wall Structures based on the Further Updated Wavelet Packet Frequency Bands Energy Ratio Spectrum

A Two-Step Damage Diagnostic Approach Based on Static Strain Energy and Model-Updating via the Equilibrium Optimizer

Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method

Enhanced cytocompatibility and antibacterial property of zinc phosphate coating on biodegradable zinc materials

Condition-Based Monitoring on High-Precision Gearbox for Robotic Applications

A Novel Sparse Enhancement Neural Network for Rolling Bearing Fault Diagnosis

Fault Diagnosis of Axle Box Bearing with Acoustic Signal Based on Chirplet Transform and Support Vector Machine

Intelligent Fault Diagnosis of Machines Based on Adaptive Transfer Density Peaks Search Clustering

Evolution of metallic cardiovascular stent materials: A comparative study among stainless steel, magnesium and zinc

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