摘要
应用相空间重构方法，通过计算裂纹转子推动响应的实测时间序列数据的最大Ｌｙａｐｕｎｏｖ 指数，研究转子剩余寿命的可预报性问题，给出了其最大的可预报时间尺度。在此基础上，建立了基于自适应人工神经元网络的转子剩余寿命预报方法。
This paper uses the method of reconstructed phase space to investigate the predictability problem of remnant life of a rotor by calculating lyapunov exponent of the observed vibrational response data of the rotor,and the largest predictable time scale is also given in the paper.On the basis of this,the method of forecasting the remnant life of a rotor is presented based on adaptive artificial neural network and its validity is also verified with a practical example.
出处
《中国电机工程学报》
EI
CSCD
北大核心
1999年第10期10-13,共4页
Proceedings of the CSEE
基金
国家自然科学基金
关键词
汽轮机
转子
剩余寿命
预报
LYAPUNOV指数
phase\|space reconstruction
lyapunov exponent
adaptive neural network
remnant life of a rotor
