Fafa Chen

A novel fusion approach of deep convolution neural network with auto-encoder and its application in planetary gearbox fault diagnosis

Baoping Tang, Fafa Chen, Lili Liu, 2020 .

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 .

Research on Multi-Sensor Information Fusion Technique for Motor Fault Diagnosis

Hang Cheng, Fafa Chen, Tailong Qin, 2009, 2009 2nd International Congress on Image and Signal Processing.

Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis

Baoping Tang, Fafa Chen, Baojia Chen, 2020, Measurement Science and Technology.

Operation reliability evaluation of cutting tools based on singular value decomposition transform and support vector space

Hongliang Tian, Fafa Chen, Baojia Chen, 2019 .

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 .

Multi-fault diagnosis study on roller bearing based on multi-kernel support vector machine with chaotic particle swarm optimization

Li Li, Baoping Tang, Fafa Chen, 2014 .

A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm

Baoping Tang, Fafa Chen, Renxiang Chen, 2013 .

A Fast Kurtogram Demodulation Method in Rolling Bearing Fault Diagnosis

Li Li, Fafa Chen, Mian Li, 2016 .