[1]
PengBin, LiuZhenQuan; Harmonic wavelet fuzzy neural network used in fault diagnosis of rotating machinery [J]; Power engineering; In 2005 the period.
Google Scholar
[2]
LiHaiXia; Car front suspension vibration isolation performance experiment analysis and neural network identification [J]; Guilin engineering college journal; The 2007 - period.
Google Scholar
[3]
WangGuangYang; ZhouYiLian; Fan vibration fault diagnosis review [J]; Journal of anhui university of technology (natural science edition); The 2006 - period.
Google Scholar
[4]
Wei ZhanGuo, Cheng XuFeng, Liu JinHao; Virtual and optimized design of mechanical arm of Forestry Felling &Cultivation machine [C]; 2012 International Conference on Advanced Mechanical Engineering; The 2012 - period.
DOI: 10.4028/www.scientific.net/amm.192.144
Google Scholar
[5]
TangGuiJi; YangYuJing; SongCaiMeng; Based on neural network fault diagnosis of rotating machinery vibration [J]; Mechanical engineer; The 2012 - period.
Google Scholar
[6]
LuXueJun, QiuZhongYu, ChenZhongYi, the king a oh, GuHuang; Based on the knowledge and fuzzy neural network fault diagnosis expert system [J]; Mechanical strength; The 2000 - period.
Google Scholar
[7]
Wei ZhanGuo, Liu JinHao, Yu Ying. The Design of Forestry Harvesting Machines Connecting Rod based on Finite Element Analysis[C], 2010 International Conference on Mechanical and Electrical Technology ICMET 2010, Singapore; The 2010 - period.
DOI: 10.1109/icmet.2010.5598350
Google Scholar
[8]
FengZhiPeng, ZhaoQuanQing; Computational intelligence in the mechanical equipment fault diagnosis application [J]; Steam turbine technology; In 2002 the period.
Google Scholar