Changqing Shen

发表

Bearing Fault Diagnosis Using Convolution Neural Network and Support Vector Regression

Changqing Shen, Zhongkui Zhu, Wei You, 2017 .

Deep Fault Recognizer: An Integrated Model to Denoise and Extract Features for Fault Diagnosis in Rotating Machinery

Liang Chen, Changqing Shen, Xiaojie Guo, 2016, Applied Sciences.

Initial center frequency-guided VMD for fault diagnosis of rotating machines

Changqing Shen, Zhongkui Zhu, Xingxing Jiang, 2018, Journal of Sound and Vibration.

Fault diagnosis of rotating machines based on the EMD manifold

Changqing Shen, Qingbo He, Jun Wang, 2020 .

An equivalent cyclic energy indicator for bearing performance degradation assessment

Changqing Shen, Dong Wang, Changqing Shen, 2016 .

An Automatic Feature Learning and Fault Diagnosis Method Based on Stacked Sparse Autoencoder

Changqing Shen, Zhongkui Zhu, Xuwei Li, 2017 .

A parameterized Doppler distorted matching model for periodic fault identification in locomotive bearing

Changqing Shen, Gaigai Cai, Zhongkui Zhu, 2016 .

An Auto Instantaneous Frequency Order Extraction Method for Bearing Fault Diagnosis under Time-Varying Speed Operation

Changqing Shen, Zhongkui Zhu, Xingxing Jiang, 2017, 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).

Transient morphology analysis and sparse representation for bearing fault diagnosis under variable speed condition

Changqing Shen, Zhongkui Zhu, Xingxing Jiang, 2018 .

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

Liang Chen, Changqing Shen, Xiaojie Guo, 2016 .

Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery

Changqing Shen, Zhongkui Zhu, Xingxing Jiang, 2017, IEEE Access.

Recognition of rolling bearing fault patterns and sizes based on two-layer support vector regression machines

Changqing Shen, Fanrang Kong, Peter W. Tse, 2014 .

A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery

Changqing Shen, Zhongkui Zhu, Wei You, 2017 .

A fast and adaptive varying-scale morphological analysis method for rolling element bearing fault diagnosis

Changqing Shen, Fanrang Kong, Peter W. Tse, 2013 .

A self-adaptive deep belief network with Nesterov momentum for the fault diagnosis of rolling element bearings

Changqing Shen, Zhongkui Zhu, Wei You, 2017, ICDLT '17.

Wayside Bearing Fault Diagnosis Based on a Data-Driven Doppler Effect Eliminator and Transient Model Analysis

Changqing Shen, Fang Liu, Ao Zhang, 2014, Sensors.

Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases

Chunyan Luo, Changqing Shen, Weiguo Huang, 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

Sparse Signal Representations of Bearing Fault Signals for Exhibiting Bearing Fault Features

Dong Wang, Changqing Shen, Wei Peng, 2016 .

Hierarchical diagnosis network based on sparse deep neural networks and its application in bearing fault diagnosis

Changqing Shen, Weiguo Huang, Zhongkui Zhu, 2017, 2017 Prognostics and System Health Management Conference (PHM-Harbin).

Multiple instantaneous frequency ridge based integration strategy for bearing fault diagnosis under variable speed operations

Changqing Shen, Zhongkui Zhu, Xingxing Jiang, 2018 .

An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder

Jun Wang, Changqing Shen, Gaigai Cai, 2018, Eng. Appl. Artif. Intell..

A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines

Changqing Shen, Zhongkui Zhu, Xingxing Jiang, 2019, Mechanical Systems and Signal Processing.

Remaining Useful Life Estimation of Slurry Pumps Using the Health Status Probability Estimation Provided by Support Vector Machine

Changqing Shen, Peter W. Tse, 2015 .

Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis

Dong Wang, Changqing Shen, Weiguo Huang, 2018, Neurocomputing.

Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions

Dong Wang, Changqing Shen, Yongxiang Li, 2021, IEEE Transactions on Instrumentation and Measurement.

Extended Noise Resistant Correlation Method for Period Estimation of Pseudoperiodic Signals

Changqing Shen, Yongxiang Li, Wei Fan, 2021, IEEE Transactions on Instrumentation and Measurement.

Remaining Useful Life Prediction of Rolling Bearings Based on Multiscale Convolutional Neural Network with Integrated Dilated Convolution Blocks

Changqing Shen, Ran Wang, Xiong Hu, 2021, Shock and Vibration.

A new l0-norm embedded MED method for roller element bearing fault diagnosis at early stage of damage

Changqing Shen, Weiguo Huang, Zhongkui Zhu, 2018, Measurement.

A novel adaptive wavelet stripping algorithm for extracting the transients caused by bearing localized faults

Changqing Shen, Peter W. Tse, Dong Wang, 2013 .