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Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study

IEEE access, 2019, Vol.7, p.9515-9530

2019

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Predicting remaining useful life of rolling bearings based on deep feature representation and long short-term memory neural network

Advances in mechanical engineering, 2018-12, Vol.10 (12)

2018

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The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings

Sensors (Basel, Switzerland), 2022-07, Vol.22 (15), p.5681

2022

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Robust Interval Prediction of Intermittent Demand for Spare Parts Based on Tensor Optimization

Sensors (Basel, Switzerland), 2023-08, Vol.23 (16), p.7182

2023

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Effects of Sm Doping to Improve the Thermoelectric Properties of ZnO Ceramics

Journal of Wuhan University of Technology. Materials science edition, 2022-12, Vol.37 (6), p.1166-1171

2022

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A New Deep Dual Temporal Domain Adaptation Method for Online Detection of Bearings Early Fault

Entropy (Basel, Switzerland), 2021-01, Vol.23 (2), p.162

2021

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Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning

IEEE/CAA journal of automatica sinica, 2023-02, Vol.10 (2), p.524-546

2023

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Unsupervised Anomaly Detection for Intermittent Sequences Based on Multi-Granularity Abnormal Pattern Mining

Entropy (Basel, Switzerland), 2023-01, Vol.25 (1), p.123

2023

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Prediction of Bearings Remaining Useful Life Across Working Conditions Based on Transfer Learning and Time Series Clustering

IEEE access, 2021, Vol.9, p.135285-135303

2021

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Failure analysis of sandwich beams under three-point bending based on theoretical and numerical models

Science and engineering of composite materials, 2023-10, Vol.30 (1), p.143-52

2023

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Spare Parts Demand Forecasting Method Based on Intermittent Feature Adaptation

Entropy (Basel, Switzerland), 2023-05, Vol.25 (5), p.764

2023

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A general-purpose machine learning framework for predicting singular integrals in boundary element method

Engineering analysis with boundary elements, 2020-08, Vol.117, p.41-56

2020

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Failure prediction of tasks in the cloud at an earlier stage: a solution based on domain information mining

Computing, 2020-09, Vol.102 (9), p.2001-2023

2020

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Rolling Bearing Fault Diagnosis across Operating Conditions Based on Unsupervised Domain Adaptation

Lubricants, 2023-09, Vol.11 (9), p.383

2023

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A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting

IEEE access, 2021, Vol.9, p.159684-159698

2021

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Imbalanced Bearing Fault Diagnosis Based on RFH-GAN and PSA-DRSN

IEEE access, 2023, Vol.11, p.131926-131938

2023

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A fast and robust model selection algorithm for multi-input multi-output support vector machine

Neurocomputing (Amsterdam), 2014-04, Vol.130, p.10-19

2014

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High flux durability underwater superoleophobic mesh modified by poly (maleic acid mono-(2-(dimethylamino)-ethyl ester-co-hydroxyethyl acrylate) and nanosilica particles hybrid

Materials research express, 2022-10, Vol.9 (10), p.105501

2022

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Three-Dimensional Elastodynamic Analysis Employing Partially Discontinuous Boundary Elements

Algorithms, 2021-05, Vol.14 (5), p.129

2021

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The mechanism of the effect of V doping on the thermoelectric properties of ZnO ceramics

Journal of solid state chemistry, 2022-01, Vol.305, p.122645, Article 122645

2022

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A novel deep output kernel learning method for bearing fault structural diagnosis

Mechanical systems and signal processing, 2019-02, Vol.117, p.293-318

2019

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A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis

Mechanical systems and signal processing, 2021-03, Vol.150, p.107233, Article 107233

2021

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Improved Laplacian Biogeography-Based Optimization Algorithm and Its Application to QAP

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-19

2020

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Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning

IEEE transactions on instrumentation and measurement, 2020-04, Vol.69 (4), p.1594-1608

2020

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ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction

Entropy (Basel, Switzerland), 2019-11, Vol.21 (11), p.1056

2019

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Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study

Predicting remaining useful life of rolling bearings based on deep feature representation and long short-term memory neural network

The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings

Robust Interval Prediction of Intermittent Demand for Spare Parts Based on Tensor Optimization

Effects of Sm Doping to Improve the Thermoelectric Properties of ZnO Ceramics

A New Deep Dual Temporal Domain Adaptation Method for Online Detection of Bearings Early Fault

Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning

Unsupervised Anomaly Detection for Intermittent Sequences Based on Multi-Granularity Abnormal Pattern Mining

Prediction of Bearings Remaining Useful Life Across Working Conditions Based on Transfer Learning and Time Series Clustering

Failure analysis of sandwich beams under three-point bending based on theoretical and numerical models

Spare Parts Demand Forecasting Method Based on Intermittent Feature Adaptation

A general-purpose machine learning framework for predicting singular integrals in boundary element method

Failure prediction of tasks in the cloud at an earlier stage: a solution based on domain information mining

Rolling Bearing Fault Diagnosis across Operating Conditions Based on Unsupervised Domain Adaptation

A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting

Imbalanced Bearing Fault Diagnosis Based on RFH-GAN and PSA-DRSN

A fast and robust model selection algorithm for multi-input multi-output support vector machine

High flux durability underwater superoleophobic mesh modified by poly (maleic acid mono-(2-(dimethylamino)-ethyl ester-co-hydroxyethyl acrylate) and nanosilica particles hybrid

Three-Dimensional Elastodynamic Analysis Employing Partially Discontinuous Boundary Elements

The mechanism of the effect of V doping on the thermoelectric properties of ZnO ceramics

A novel deep output kernel learning method for bearing fault structural diagnosis

A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis

Improved Laplacian Biogeography-Based Optimization Algorithm and Its Application to QAP

Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning

ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction

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