| 基于小波神经网络的刀具状态监测系统的设计 |
| |
| 引用本文： | 冯冀宁,刘彬,刁哲军. 基于小波神经网络的刀具状态监测系统的设计[J]. 组合机床与自动化加工技术, 2003, 0(10): 26-27,29 |
| |
| 作者姓名： | 冯冀宁 刘彬 刁哲军 |
| |
| 作者单位： | 1. 燕山大学,电气工程学院,河北,秦皇岛,066004
2. 河北师范大学电子工程系,河北,石家庄,050031 |
| |
| 摘 要： | 利用能量分布特征提取方法和优化BP神经网络，提出一种基于小波变换和神经网络的刀具状态监测系统，利用该系统对四种刀具状态进行估计，结果与实际情况基本一致，证明该系统对于估计刀具状态是有效的。
|
| 关 键 词： | 刀具 小波变换 神经网络 状态监测 |
| 文章编号： | 1001-2265(2003)10-0026-03 |
Design and application of tool condition monitoring system based on wavelet neural network |
| |
| FENG Jining LIU Bin Diao Zhejun. Design and application of tool condition monitoring system based on wavelet neural network[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2003, 0(10): 26-27,29 |
| |
| Authors: | FENG Jining LIU Bin Diao Zhejun |
| |
| Affiliation: | FENG Jining LIU Bin Diao Zhejun |
| |
| Abstract: | Characteristics of energy distribution and better BP neural network are used in this paper, a system of tool condition monitoring based on wavelet and neural network is introduced, and four kinds of tool condition are estimated by this system , The experimental results show it is effective to monitor tool condition. |
| |
| Keywords: | tool condition monitoring wavelet transform neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
