Huijie Ma

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 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 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).

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

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

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).

A novel compound fault diagnosis method using intrinsic component filtering

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

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.

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.

Intrinsic component filtering for fault diagnosis of rotating machinery

Shunming Li, Jiantao Lu, Yu Xin, 2020 .

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.

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).

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

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