Investigation on Reciprocating Engine Pattern Recognition by Combining SVM and Hilbert Spectrum Entropy. - Hongkun Li; Xiaojiang Ma; Fengtao Wang; Quanmin Ren (ISDA (1), 2006)

The Study of Feature Extraction Using Local Energy of Frequency Bands Based on Wavelet Packet Decomposition. - Fengtao Wang; Jianguo Chen; Xiaojiang Ma (ICNC (3), 2007)

Design and development of rolling bearing vibration signal analysis system. - Wensheng Su; Fengtao Wang (EMEIT, 2011)

Real-Time Multispectral Imager for Home-Based Health Care. - Dingrong Yi; Chao Wang; Hairong Qi 001; Linghua Kong; Fengtao Wang; Ali Adibi (IEEE Trans. Biomed. Eng., 2011)

Reliability assessment of rolling bearing based on principal component analysis and Weibull proportional hazard model. - Fengtao Wang; Xutao Chen; Chenxi Liu; Dawen Yan; Qingkai Han; Hongkun Li (I2MTC, 2017)

A deep neural network based on kernel function and auto-encoder for bearing fault diagnosis. - Fengtao Wang; Bosen Dun; Gang Deng; Hongkun Li; Qingkai Han (I2MTC, 2018)

A Fault Diagnosis Model Based on Kernel Auto-encoder and Improved Chaos Firefly Optimization Algorithm. - Fengtao Wang; Xiaofei Liu; Linjie Ma; Gang Deng; Qingkai Han; Hongkun Li (I2MTC, 2019)

Calculating the Contact Forces at Imperfect Surfaces Considering Elastohydrodynamic Lubrication Effects in Rolling Element Bearings. - Linkai Niu; Fengtao Wang; Guoyan Li; Chenguang Niu; Yuan Lan; Xiaoyan Xiong (ICPHM, 2019)

Convolutional Neural Network Based on Spiral Arrangement of Features and Its Application in Bearing Fault Diagnosis. - Fengtao Wang; Gang Deng; Linjie Ma; Xiaofei Liu; Hongkun Li (IEEE Access, 2019)

Remaining Life Prediction Method for Rolling Bearing Based on the Long Short-Term Memory Network. - Fengtao Wang; Xiaofei Liu; Gang Deng; Xiaoguang Yu; Hongkun Li; Qingkai Han (Neural Process. Lett., 2019)

Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery. - Gang Chen 024; Junlin Yuan; Yiyue Zhang; Hanyue Zhu; Ruyi Huang; Fengtao Wang; Weihua Li 004 (IEEE Access, 2024)