Baoping Tang

发表

Feature extraction method of wind turbine based on adaptive Morlet wavelet and SVD

Yi Qin, Wenyi Liu, Yonghua Jiang, 2011 .

An integrated approach to planetary gearbox fault diagnosis using deep belief networks

Jiaxu Wang, Baoping Tang, Junyang Li, 2017 .

Multiscale dynamic fusion prototypical cluster network for fault diagnosis of planetary gearbox under few labeled samples

Lei Deng, Baoping Tang, Biao Li, 2020, Comput. Ind..

Performance degradation prediction of mechanical equipment based on optimized multi-kernel relevant vector machine and fuzzy information granulation

Baoping Tang, Fafa Chen, Baojia Chen, 2020 .

Removal of power line interference of space bearing vibration signal based on the morphological filter and blind source separation

Shaojiang Dong, Baoping Tang, Xiangyang Xu, 2017 .

An adaptive demodulation approach for bearing fault detection based on adaptive wavelet filtering and spectral subtraction

Baoping Tang, Yan Zhang, Baoping Tang, 2016 .

Adaptive bistable stochastic resonance and its application in mechanical fault feature extraction

Yi Qin, Baoping Tang, Ye He, 2014 .

Deep convolution domain-adversarial transfer learning for fault diagnosis of rolling bearings

Baoping Tang, Feng Li, Tuojiang Tang, 2021 .

The fault diagnosis method of rolling bearing under variable working conditions based on deep transfer learning

Shaojiang Dong, Baoping Tang, Kun He, 2020, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

An accurate 3-D fire location method based on sub-pixel edge detection and non-parametric stereo matching

Tao Song, Lei Deng, Baoping Tang, 2014 .

Fault diagnosis method using supervised extended local tangent space alignment for dimension reduction

Lei Deng, Baoping Tang, Baoping Tang, 2015 .

A novel optimized multi-kernel relevance vector machine with selected sensitive features and its application in early fault diagnosis for rolling bearings

Baoping Tang, Fafa Chen, Baojia Chen, 2020 .

A reinforcement learning unit matching recurrent neural network for the state trend prediction of rolling bearings

Jiaxu Wang, Feng Li, Xueming Zhou, 2019, Measurement.

Bearing Degradation Process Prediction Based on the Support Vector Machine and Markov Model

Shaojiang Dong, Baoping Tang, Luo Tianhong, 2014 .

A study on the quick measuring method of linear dynamic range of receiver

Baoping Tang, Jinbao Yao, Jie Zhao, 2015 .

Multi-block domain adaptation with central moment discrepancy for fault diagnosis

Lei Deng, Baoping Tang, Xiaoxia Yu, 2021 .

Research onVirtual Instrument forWaveletTransform

Baoping Tang, Aijun Yin, Fabin Cheng, 2005 .

A Fault Diagnosis Method for Rotating Machinery Based on PCA and Morlet Kernel SVM

Shaojiang Dong, Baoping Tang, Wentao Yu, 2014 .