摘要
良好的局部放大特性和多分辨率学习特性使得小波神经网络比神经网络有更强的自适应能力、更快的收敛速度和更高的预报精度。本文构造了一个小波神经网络,给出了基于小波神经网络的机械故障趋势预测方法,并通过对煤矿提升机闸瓦间隙进行故障预测,验证其方法的可行性。
The good local amplification and multi-resolution characteristic make the wavelet network have strong adaptive capacity,fast convergence speed and high precision of prediction.A wavelet neural network is constructed.Based on this network,the trend prediction method of mechanical fault is provided,and through carrying on failure prediction to the mine hoist brake shoe interval,the feasibility of this method is verified.
出处
《机械传动》
CSCD
北大核心
2006年第3期68-70,共3页
Journal of Mechanical Transmission
基金
黑龙江省教育厅科学技术研究资助项目(11511311)
关键词
小波网络
机械故障
预测
Wavelet neural network Machanical fault Prediction
