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基于混合智能的刀具状态在线识别

路勇 姚英学 董申

高技术通讯2001,Vol.11Issue(1):81-84,13,5.
高技术通讯2001,Vol.11Issue(1):81-84,13,5.

基于混合智能的刀具状态在线识别

On-line Tool Condition Recognition Bascd on Hybrid Intelligence

路勇 1姚英学 1董申1

作者信息

  • 1. 哈尔滨工业大学机电学院
  • 折叠

摘要

Abstract

The tool condition directly affects the quality of workpiece and machining effic iency, and in the real-time monitoring process of machining, it is the importan t factor of implement of intelligent manufacturing. Consequently, an on-line in telligent monitoring system of tool condition that integrates wavelet packet tra nsforma fuzzy theory and artificial neural network(ANN)is brought forward. A FNN model isput forward for showing the relation beween tool co ndition nd features, the model adopt hybrid liarning algorithm that integrates s elf-organized competition learning and BP algorithm.

关键词

刀具状态/小沙包/模糊神经网络/混合学习/声发射

分类

信息技术与安全科学

引用本文复制引用

路勇,姚英学,董申..基于混合智能的刀具状态在线识别[J].高技术通讯,2001,11(1):81-84,13,5.

高技术通讯

OACSCD

1002-0470

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