Jinrui Wang

发表

Research and Application of Regularized Sparse Filtering Model for Intelligent Fault Diagnosis Under Large Speed Fluctuation

Baokun Han, Guowei Zhang, Jinrui Wang, 2020, IEEE Access.

A Novel Transfer Learning Method for Fault Diagnosis Using Maximum Classifier Discrepancy With Marginal Probability Distribution Adaptation

Baokun Han, Guowei Zhang, Jinrui Wang, 2020, IEEE Access.

An Intelligent Fault Diagnosis Approach Considering the Elimination of the Weight Matrix Multi-Correlation

Shunming Li, Jinrui Wang, Weiwei Qian, 2018, Applied Sciences.

An intelligent diagnosis framework for roller bearing fault under speed fluctuation condition

Baokun Han, Jinrui Wang, Xingxing Jiang, 2021, Neurocomputing.

An intelligent fault diagnosis method of rotating machinery using L1-regularized sparse filtering

Shunming Li, Jinrui Wang, Weiwei Qian, 2018, Journal of Vibroengineering.

A Generic Intelligent Bearing Fault Diagnosis System Using Convolutional Neural Networks With Transfer Learning

Baokun Han, Jinrui Wang, Tao Lu, 2020, IEEE Access.

Adaptive Reinforced Empirical Morlet Wavelet Transform and Its Application in Fault Diagnosis of Rotating Machinery

Shunming Li, Jinrui Wang, Zenghui An, 2019, IEEE Access.

Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis

Yu Xin, Jinrui Wang, Shunming Li, 2020, Neurocomputing.

Gear Fault Intelligent Diagnosis Based on Frequency-Domain Feature Extraction

Shunming Li, Jinrui Wang, Yu Xin, 2019, Journal of Vibration Engineering & Technologies.

A New Deep Transfer Learning Network for Fault Diagnosis of Rotating Machine Under Variable Working Conditions

Shunming Li, Jinrui Wang, Weiwei Qian, 2018, 2018 Prognostics and System Health Management Conference (PHM-Chongqing).

A Novel Data Augmentation Method for Intelligent Fault Diagnosis Under Speed Fluctuation Condition

Baokun Han, Guowei Zhang, Jinrui Wang, 2020, IEEE Access.

A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network.

Jinrui Wang, Shunming Li, Xingxing Jiang, 2019, ISA transactions.

Application of Analytic Number Theory in Bioinformatics

Jinrui Wang, 2017 .

An intelligent fault diagnosis method of rotating machinery based on deep neural networks and time-frequency analysis

Shunming Li, Jinrui Wang, Chun Cheng, 2018, Journal of Vibroengineering.

Short-term Wind Power Forecasting Algorithm Based on Similar Time Period Clustering

Jinrui Wang, Zhiyuan Zhang, Wen Peng, 2017 .

Data augment method for machine fault diagnosis using conditional generative adversarial networks

Jinrui Wang, Huaiqian Bao, Mingyan Wang, 2020, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition

Jinrui Wang, Shunming Li, Zenghui An, 2020, Neurocomputing.

Multidimensional Blind Deconvolution Method Based on Cross-Sparse Filtering for Weak Fault Diagnosis

Baokun Han, Jinrui Wang, Shan Wang, 2020, IEEE Access.

General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis

Shunming Li, Jinrui Wang, Yu Xin, 2019, Mechanical Systems and Signal Processing.

Intelligent fault diagnosis method for rotating machinery based on vibration signal analysis and hybrid multi‐object deep CNN

Yu Xin, Jinrui Wang, Shunming Li, 2020, IET Science, Measurement & Technology.

A Novel Unsupervised Learning Method Based on Cross-Normalization for Machinery Fault Diagnosis

Jinrui Wang, Shunming Li, Xingxing Jiang, 2020, IEEE Access.

Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working Conditions

Jinrui Wang, Shunming Li, Xingxing Jiang, 2020, IEEE Access.

Generalization of Deep Neural Networks for Imbalanced Fault Classification of Machinery Using Generative Adversarial Networks

Shunming Li, Jinrui Wang, Zenghui An, 2019, IEEE Access.

A New Fault Feature Extraction Method for Non-Stationary Signal Based on Advanced Synchrosqueezing Transform

Shunming Li, Jinrui Wang, Yu Xin, 2019, Journal of Vibration Engineering & Technologies.

Generalized sparse filtering for rotating machinery fault diagnosis

Jinrui Wang, Michael Pecht, Haining Liu, 2020, The Journal of Supercomputing.

A New Transfer Learning Method and its Application on Rotating Machine Fault Diagnosis Under Variant Working Conditions

Shunming Li, Jinrui Wang, Weiwei Qian, 2018, IEEE Access.

Construction of a batch-normalized autoencoder network and its application in mechanical intelligent fault diagnosis

Shunming Li, Jinrui Wang, Weiwei Qian, 2018, Measurement Science and Technology.

A novel feature representation method based on deep neural networks for gear fault diagnosis

Shunming Li, Jinrui Wang, Xingxing Jiang, 2017, 2017 Prognostics and System Health Management Conference (PHM-Harbin).

Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method

Shunming Li, Jinrui Wang, Yu Xin, 2019, Neurocomputing.

Imbalanced Fault Classification of Bearing via Wasserstein Generative Adversarial Networks with Gradient Penalty

Jinrui Wang, Sixiang Jia, Guifang Liu, 2020 .

An automatic feature extraction method and its application in fault diagnosis

Shunming Li, Jinrui Wang, Xingxing Jiang, 2017 .

A novel intelligent fault diagnosis method based on fast intrinsic component filtering and pseudo-normalization

Jinrui Wang, Shunming Li, Xingxing Jiang, 2020 .

Deep Adaptive Adversarial Network-Based Method for Mechanical Fault Diagnosis under Different Working Conditions

Jinrui Wang, Huaiqian Bao, Shanshan Ji, 2020, Complex..

Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines

Shunming Li, Jinrui Wang, Xingxing Jiang, 2019, Neurocomputing.

A Review on the Signal Processing Methods of Rotating Machinery Fault Diagnosis

Jinrui Wang, Shunming Li, Kun Xu, 2019, 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).

An intelligent fault diagnosis framework for raw vibration signals: adaptive overlapping convolutional neural network

Shunming Li, Jinrui Wang, Weiwei Qian, 2018, Measurement Science and Technology.

Intelligent fault diagnosis for rotating machinery using L1/2-SF under variable rotational speed

Baokun Han, Jinrui Wang, Huaiqian Bao, 2020 .

A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing

Guowei Zhang, Jinrui Wang, Sixiang Jia, 2020 .

A Novel Stacked Auto Encoders Sparse Filter Rotating Component Comprehensive Diagnosis Network for Extracting Domain Invariant Features

Jinrui Wang, Shunming Li, Rui Ding, 2020 .

A renewable fusion fault diagnosis network for the variable speed conditions under unbalanced samples

Jinrui Wang, Shunming Li, Xingxing Jiang, 2020, Neurocomputing.

A novel adaptive and fast deep convolutional neural network for bearing fault diagnosis under different working conditions

Shunming Li, Jinrui Wang, Zenghui An, 2020, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

Advanced component transmission path analysis based on transmissibility matrices and blocked displacements

Shunming Li, Jinrui Wang, Yong Xu, 2018 .

A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery

Jinrui Wang, Sixiang Jia, Baokun Han, 2021, Entropy.

Hybrid distance-guided adversarial network for intelligent fault diagnosis under different working conditions

Guowei Zhang, Jinrui Wang, Sixiang Jia, 2021 .

A New Universal Domain Adaptive Method for Diagnosing Unknown Bearing Faults

Jinrui Wang, Huaiqian Bao, Zongzhen Zhang, 2021, Entropy.

Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing

Jinrui Wang, Xingxing Jiang, Shanshan Ji, 2021, Neurocomputing.

An enhanced sparse filtering method for transfer fault diagnosis using maximum classifier discrepancy

Guowei Zhang, Jinrui Wang, Sixiang Jia, 2021, Measurement Science and Technology.

A Non-Contact Fault Diagnosis Method for Bearings and Gears Based on Generalized Matrix Norm Sparse Filtering

Guowei Zhang, Jinrui Wang, Huaiqian Bao, 2021, Entropy.

Application of adaptive complementary ensemble local mean decomposition in underwater acoustic signal processing

Jinrui Wang, Xiaoyu Wang, Fanqianhui Yu, 2021, Applied Acoustics.

General normalized maximum mean discrepancy: intelligent fault identification method for bearings and gears under unstable conditions

Guowei Zhang, Jinrui Wang, Xiaoyu Wang, 2021 .