화학공학소재연구정보센터
검색결과 : 4건
No. Article
1 Intelligent fault diagnosis of Wind Turbines via a Deep Learning Network Using Parallel Convolution Layers with Multi-Scale Kernels
Chang YH, Chen JL, Qu C, Pan TY
Renewable Energy, 153, 205, 2020
2 Specialization improved nonlocal means to detect periodic impulse feature for generator bearing fault identification
Chen JL, Pan J, Zhang CL, Luo XY, Zhou ZT, Wang B
Renewable Energy, 103, 448, 2017
3 Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals
Chen JL, Pan J, Li ZP, Zi YY, Chen XF
Renewable Energy, 89, 80, 2016
4 Analyzing bearing faults in wind turbines: A data-mining approach
Kusiak A, Verma A
Renewable Energy, 48, 110, 2012