Shunming Li

发表

A neural network with nuisance attribute projection: a novel method for bearing fault diagnosis under variable speed

Huijie Ma, Shunming Li, Jiantao Lu, 2022, Measurement Science and Technology.

A Quantum Weak Signal Detection Method for Strengthening Target Signal Features under Strong White Gaussian Noise

Shunming Li, Jiantao Lu, Siqi Gong, 2022, Applied Sciences.

A Fault Diagnosis Approach for Rolling Bearing Based on Convolutional Neural Network and Nuisance Attribute Projection under Various Speed Conditions

Huijie Ma, Shunming Li, 2019 .

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 novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism

Shunming Li, Xingxing Jiang, Ranran Li, 2021, Knowledge-Based Systems.

Fast nonlinear Hoyergram for bearings fault diagnosis under random impact interference

Shunming Li, Jinrui Wang, Zujie Yang, 2022, Measurement Science and Technology.

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 Hierarchical Sparse Discriminant Autoencoder for Bearing Fault Diagnosis

Shunming Li, Jiantao Lu, Kun Xu, 2022, Applied Sciences.

A novel convolutional transfer feature discrimination network for unbalanced fault diagnosis under variable rotational speeds

Shunming Li, Weiwei Qian, Zenghui An, 2019, Measurement Science and Technology.

Fault Feature Extraction of Rolling Bearing Based on Improved VMD-SVD Joint Denoising and Synchrosqueezing Wavelet Transform

Huijie Ma, Shunming Li, Jiantao Lu, 2020, 2020 11th International Conference on Prognostics and System Health Management (PHM-2020 Jinan).

Research on weak signal detection of integral average digital lock-in amplifier

Minxiang Wei, Shunming Li, Kai Chen, 2021 .

A Novel Symmetric Stacked Autoencoder for Adversarial Domain Adaptation Under Variable Speed

Shunming Li, Jiantao Lu, Kun Xu, 2022, IEEE Access.

A Novel Weakly Matching Pursuit Recovery Algorithm and Its Application

Minxiang Wei, Shunming Li, Xinda Chen, 2022, Journal of Vibration Engineering & Technologies.

A transfer-learning fault diagnosis method considering nearest neighbor feature constraints

Shunming Li, Kun Xu, Ranran Li, 2022, Measurement Science and Technology.

Weak Signal Detection Based on Combination of Sparse Representation and Singular Value Decomposition

Huijie Ma, Shunming Li, Jiantao Lu, 2022, Applied Sciences.

Fast nonlinear convolutional sparse filtering: A novel early-stage fault diagnosis method of rolling bearing

Shunming Li, Jinrui Wang, Zongzhen Zhang, 2022, Measurement.

Fast nonlinear blind deconvolution for rotating machinery fault diagnosis

Shunming Li, Jinrui Wang, Xingxing Jiang, 2023, Mechanical Systems and Signal Processing.

Adaptive Maximum Cyclostationarity Blind Deconvolution and Its Application on Incipient Fault Diagnosis of Bearing

Huijie Ma, Shunming Li, Jiantao Lu, 2022, 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai).

Novel data-driven short-frequency mutual information entropy threshold filtering and its application to bearing fault diagnosis

Shunming Li, Yu Xin, Shunming Li, 2019, Measurement Science and Technology.

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

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

A novel rolling bearing fault diagnosis method based on generalized nonlinear spectral sparsity

Shunming Li, Jinrui Wang, Zujie Yang, 2022, Measurement.

A novel compound fault diagnosis method using intrinsic component filtering

Yu Xin, Shunming Li, Zongzhen Zhang, 2020, Measurement Science and Technology.

Theoretical analysis of adaptive harmonic window and its application in frequency extraction of vibration signal

Shunming Li, Jin-rui Wang, Xianglian Li, 2018 .

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

Jinrui Wang, Shunming Li, Xingxing Jiang, 2020 .

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

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

Fast convolution sparse filtering and its application on gearbox fault diagnosis

Yu Xin, Shunming Li, Zenghui An, 2020 .

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.

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.

Gear Fault Intelligent Diagnosis Based on Frequency-Domain Feature Extraction

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

A Novel Strategy for Signal Denoising Using Two-Layer SVD and Its Application to Rub-Impact Fault Diagnosis of Aeroengine

Kun Xu, Shunming Li, Siqi Gong, 2022, Applied Sciences.

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 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.

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.

A Fine Resolution Frequency Estimation Method for Noisy Signal and its Application

Shunming Li, Minxiang Wei, Kai Chen, 2021, Journal of Vibration Engineering & Technologies.

Structured sparsity assisted online convolution sparse coding and its application on weak signature detection

Shunming Li, Zongzhen Zhang, Jiantao Lu, 2021 .

Impulsive Wavelet Based Probability Sparse Coding Model for Bearing Fault Diagnosis

Huijie Ma, Shunming Li, Jiantao Lu, 2022, Measurement.

Enhanced K-Nearest Neighbor for Intelligent Fault Diagnosis of Rotating Machinery

Weiwei Qian, Shunming Li, Jiantao Lu, 2021, Applied Sciences.

Multi-Frequency Weak Signal Detection Based on Wavelet Transform and Parameter Selection of Bistable Stochastic Resonance Model

Huijie Ma, Shunming Li, Siqi Gong, 2021, Journal of Vibration Engineering & Technologies.

A novel transfer learning method for robust fault diagnosis of rotating machines under variable working conditions

Shunming Li, Weiwei Qian, Pengxing Yi, 2019, Measurement.

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).

Adaptive nearest neighbor reconstruction with deep contractive sparse filtering for fault diagnosis of roller bearings

Shunming Li, Jiantao Lu, Weiwei Qian, 2022, Eng. Appl. Artif. Intell..

Unsupervised domain adaptation via enhanced transfer joint matching for bearing fault diagnosis

Shunming Li, Zhongwei Zhang, Zenghui An, 2020 .

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.

Intrinsic component filtering for fault diagnosis of rotating machinery

Shunming Li, Jiantao Lu, Yu Xin, 2020 .

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

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

Domain Adaptation Network with Double Adversarial Mechanism for Intelligent Fault Diagnosis

Shunming Li, Xianglian Li, Mengjie Zeng, 2021, Applied Sciences.

An intelligent fault diagnosis framework dealing with arbitrary length inputs under different working conditions

Shunming Li, Yu Xin, Zenghui An, 2019, Measurement Science and Technology.

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

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

A Novel Improved Threshold Adaptive Forgetting Variable Step Size Blind Separation Model for Weak Signal Detection

Shunming Li, Jiantao Lu, Siqi Gong, 2022, Shock and Vibration.

A Fine Resolution Frequency Estimation Method for Noisy Signal and its Application

Minxiang Wei, Shunming Li, Xinda Chen, 2021, Journal of Vibration Engineering & Technologies.

A Novel Real-Time Fault Diagnosis Method for Planetary Gearbox Using Transferable Hidden Layer

Shunming Li, Zenghui An, Xiaodong Miao, 2020, IEEE Sensors Journal.

Uncertainty Reduced Novelty Detection Approach Applied to Rotating Machinery for Condition Monitoring

Shunming Li, Yeping Xiong, Sai Ma, 2015 .

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

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

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.

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).

Auxiliary generative mutual adversarial networks for class-imbalanced fault diagnosis under small samples

Kun Xu, Shunming Li, Jianfeng Gu, 2022, Chinese Journal of Aeronautics.

Transverse Vibrate Analysis and Optimization for a Tuck Cab

Shunming Li, Kun Xu, 2018 .

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

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

A novel class imbalance-robust network for bearing fault diagnosis utilizing raw vibration signals

Weiwei Qian, Shunming Li, Shunming Li, 2020 .

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.

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.

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.

Deep Sparse Topology Network for Robust Bearing Fault Diagnosis by Maximizing Prior Knowledge Functions

Shunming Li, Jiantao Lu, Weiwei Qian, 2022, IEEE Transactions on Industrial Informatics.

Sparse filtering based domain adaptation for mechanical fault diagnosis

Shunming Li, Zenghui An, Zhongwei Zhang, 2020, Neurocomputing.

A novel unsupervised domain adaptation based on deep neural network and manifold regularization for mechanical fault diagnosis

Shunming Li, Zenghui An, Zhongwei Zhang, 2020, Measurement Science and Technology.

A novel sparse filtering approach based on time-frequency feature extraction and softmax regression for intelligent fault diagnosis under different speeds

Shun-ming Li, Zhong-wei Zhang, Huai-hai Chen, 2019, Journal of Central South University.

A novel sparse filtering approach based on time-frequency feature extraction and softmax regression for intelligent fault diagnosis under different speeds

Shunming Li, Jinrui Wang, Zhongwei Zhang, 2019, Journal of Central South University.

Gear Fault Intelligent Diagnosis Based on Frequency-Domain Feature Extraction

Shunming Li, Jinrui Wang, Zenghui An, 2019, Journal of Vibration Engineering & Technologies.

A novel supervised sparse feature extraction method and its application on rotating machine fault diagnosis

Shunming Li, Qijun Wu, Weiwei Qian, 2018, Neurocomputing.

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).

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.

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 fault diagnosis method in the case of rotating speed fluctuations

Shunming Li, Zenghui An, Weiwei Qian, 2017, 2017 Prognostics and System Health Management Conference (PHM-Harbin).

Deep domain adversarial method with central moment discrepancy for intelligent transfer fault diagnosis

Shunming Li, Jiantao Lu, Ranran Li, 2021 .

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.

A Novel Data-Driven Fault Feature Separation Method and Its Application on Intelligent Fault Diagnosis Under Variable Working Conditions

Shunming Li, Zenghui An, Jiantao Lu, 2020, IEEE Access.

Two-Channel Information Fusion Weak Signal Detection Based on Correntropy Method

Huijie Ma, Shunming Li, Jiantao Lu, 2022, Applied Sciences.

Fusion Method and Application of Several Source Vibration Fault Signal Spatio-Temporal Multi-Correlation

Shunming Li, Xianglian Li, Longhuan Cheng, 2021 .

A CMOS Current Sensing Interface With Sub-pA DC Uncertainty

Hao Gao, P. Wang, Shunming Li, 2024, IEEE Transactions on Circuits and Systems II: Express Briefs.

Discriminative feature-based adaptive distribution alignment (DFADA) for rotating machine fault diagnosis under variable working conditions

Weiwei Qian, Shunming Li, Tong Yao, 2020, Appl. Soft Comput..

Prediction model of bearing fault remaining useful life based on weighted variable loss degradation characteristics

Shunming Li, Jiantao Lu, Tianyi Yu, 2024, Measurement Science and Technology.

Quantum stacked autoencoder fault diagnosis model for bearing faults

Shunming Li, Jiantao Lu, Tianyi Yu, 2023, Insight - Non-Destructive Testing and Condition Monitoring.

An Intelligent Method Based on Time–Frequency Analysis and Deep Learning Semantic Segmentation for Investigating the Electromagnetic Pulse Features of Engine Digital Controllers

Minxiang Wei, Shunming Li, Jie Cao, 2023, IEEE Transactions on Electromagnetic Compatibility.

Interpretable Siamese dual attention enhancement transfer compound diagnostic model for unbalanced samples

Shunming Li, Xiaodong Miao, Ranran Li, 2024, Structural Health Monitoring.

Dual generative adversarial networks combining conditional assistance and feature enhancement for imbalanced fault diagnosis

Shunming Li, Kun Xu, Ranran Li, 2023, Structural Health Monitoring.

Deep domain adaptation with adversarial idea and coral alignment for transfer fault diagnosis of rolling bearing

Shunming Li, Jiantao Lu, Kun Xu, 2021, Measurement Science and Technology.