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Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning

IEEE transactions on industrial informatics, 2019-04, Vol.15 (4), p.2446-2455

2019

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Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis

IEEE transactions on industrial informatics, 2017-06, Vol.13 (3), p.1350-1359

2017

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Reconstruction and optimization methods of old university teaching buildings

E3S web of conferences, 2020-01, Vol.165, p.4033

2020

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Attention-based LSTM network for rotatory machine remaining useful life prediction

IEEE access, 2020-01, Vol.8, p.1-1

2020

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ECG Arrhythmias Detection Using Auxiliary Classifier Generative Adversarial Network and Residual Network

IEEE access, 2019, Vol.7, p.100910-100922

2019

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Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning

Shock and vibration, 2020, Vol.2020 (2020), p.1-12

2020

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Rolling Bearing Health Indicator Extraction and RUL Prediction Based on Multi-Scale Convolutional Autoencoder

Applied sciences, 2022-06, Vol.12 (11), p.5747

2022

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A digital hysteresis control method for three-level grid-tie inverter based on online prediction of sampling time without inductance

Frontiers in energy research, 2024-05, Vol.12

2024

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Bearing Fault Diagnosis for Time-Varying System Using Vibration–Speed Fusion Network Based on Self-Attention and Sparse Feature Extraction

Machines (Basel), 2022-10, Vol.10 (10), p.948

2022

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Generative adversarial networks for data augmentation in machine fault diagnosis

Computers in industry, 2019-04, Vol.106, p.85-93

2019

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Terahertz spectral properties of glucose and two disaccharides in solid and liquid states

iScience, 2022-04, Vol.25 (4), p.104102-104102, Article 104102

2022

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Sequential Network with Residual Neural Network for Rotatory Machine Remaining Useful Life Prediction Using Deep Transfer Learning

Shock and vibration, 2020, Vol.2020 (2020), p.1-16

2020

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Enhanced Automatic Identification of Urban Community Green Space Based on Semantic Segmentation

Land (Basel), 2022-06, Vol.11 (6), p.905

2022

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Terahertz Spectral Characteristics of Electrolyte Solutions under Different Magnetic Fields

Current Optics and Photonics, 2022, 6(3), , pp.337-343

2022

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Terahertz Characteristics of Magnetic Fluid Based on Microfluidic Technology

International Journal of Optics, 2021-06, Vol.2021, p.1-8

2021

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Effect of external magnetic field on terahertz transmission characteristics of electrolyte solution based on microfluidic technology

Results in optics, 2022-01, Vol.6, p.100211, Article 100211

2022

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DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

IEEE transactions on instrumentation and measurement, 2020-06, Vol.69 (6), p.2658-2669

2020

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A sparse auto-encoder-based deep neural network approach for induction motor faults classification

Measurement : journal of the International Measurement Confederation, 2016-07, Vol.89, p.171-178

2016

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CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-8

2022

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LEFE-Net: A Lightweight Efficient Feature Extraction Network With Strong Robustness for Bearing Fault Diagnosis

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-11

2021

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MgNet: A fault diagnosis approach for multi-bearing system based on auxiliary bearing and multi-granularity information fusion

Mechanical systems and signal processing, 2023-06, Vol.193, p.110253, Article 110253

2023

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Induction Motor Fault Diagnosis Based on Deep Neural Network of Sparse Auto-encoder

Ji xie gong cheng xue bao, 2016-01, Vol.52 (9), p.65

SUN, Wenjun

2016

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Bearing fault diagnosis based on partial domain adaptation adversarial network

Measurement science & technology, 2022-12, Vol.33 (12), p.124003

2022

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Intelligent bearing fault diagnosis method based on a domain aligned clustering network

Measurement science & technology, 2023-04, Vol.34 (4), p.44001

2023

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A statistical study for some classes of first-order mixed generalized binomial autoregressive models

Communications in statistics. Theory and methods, 2024-04, Vol.53 (14), p.5057-5075

2024

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Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning

Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis

Reconstruction and optimization methods of old university teaching buildings

Attention-based LSTM network for rotatory machine remaining useful life prediction

ECG Arrhythmias Detection Using Auxiliary Classifier Generative Adversarial Network and Residual Network

Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning

Rolling Bearing Health Indicator Extraction and RUL Prediction Based on Multi-Scale Convolutional Autoencoder

A digital hysteresis control method for three-level grid-tie inverter based on online prediction of sampling time without inductance

Bearing Fault Diagnosis for Time-Varying System Using Vibration–Speed Fusion Network Based on Self-Attention and Sparse Feature Extraction

Generative adversarial networks for data augmentation in machine fault diagnosis

Terahertz spectral properties of glucose and two disaccharides in solid and liquid states

Sequential Network with Residual Neural Network for Rotatory Machine Remaining Useful Life Prediction Using Deep Transfer Learning

Enhanced Automatic Identification of Urban Community Green Space Based on Semantic Segmentation

Terahertz Spectral Characteristics of Electrolyte Solutions under Different Magnetic Fields

Terahertz Characteristics of Magnetic Fluid Based on Microfluidic Technology

Effect of external magnetic field on terahertz transmission characteristics of electrolyte solution based on microfluidic technology

DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

CLFormer: A Lightweight Transformer Based on Convolutional Embedding and Linear Self-Attention With Strong Robustness for Bearing Fault Diagnosis Under Limited Sample Conditions

LEFE-Net: A Lightweight Efficient Feature Extraction Network With Strong Robustness for Bearing Fault Diagnosis

MgNet: A fault diagnosis approach for multi-bearing system based on auxiliary bearing and multi-granularity information fusion

Induction Motor Fault Diagnosis Based on Deep Neural Network of Sparse Auto-encoder

Bearing fault diagnosis based on partial domain adaptation adversarial network

Intelligent bearing fault diagnosis method based on a domain aligned clustering network

A statistical study for some classes of first-order mixed generalized binomial autoregressive models

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