摘要
研究了利用声发射、振动和电机功率信号经BP算法信息融合估计刀具磨损量的方法,采用简单有效的灰色模型关联分析法选择特征参数。
An information fusion from multiple sensors (acoustic emission,vibration and spindle motor power) via back propagation algorithm to estimate tool wear is presented.A simple efficient method,relevant analysis using grey model theory,is used to select the features.The influence of parameters on performance of network and the robustness with respect to noisy and inaccurate sensor information are investigated.
出处
《航空学报》
EI
CAS
CSCD
北大核心
1997年第1期120-122,共3页
Acta Aeronautica et Astronautica Sinica
基金
国家自然科学基金
航空科学基金
关键词
神经网络
特征选择
刀具磨损
仿真
artificial neural network feature selection tool wear estimation simulation