带锯床锯切负载检测系统研制  

Design of band saw cutting load testing system

作　　者：倪敬[1] 汤海天[1] 刘湘琪[2] 刘晓晨[1] 

机构地区：[1]杭州电子科技大学机械工程学院,浙江杭州310018 [2]浙江理工大学机械与自动控制学院,浙江杭州310018

出　　处：《机电工程》2014年第5期620-623,共4页Journal of Mechanical & Electrical Engineering

摘　　要：针对金属带锯床对锯切高精度、高效率等方面提出的要求,设计了一种带锯床锯切负载检测系统,提出了一种基于粗糙集数据分析方法(RSDA)的专家系统智能识别策略。该系统实时采集带锯锯切振动信号,经信号处理模块提取特征值,专家系统将提取的特征值暂存于数据库,经过诊断模型的对比分析,对锯切负载进行识别。研究结果表明,该锯切负载检测系统具有识别准确率高、响应速度快等特点,其检测精度可以达到负载检测量程的1‰,可以较好地满足带锯床锯切负载在线识别的需要。Aiming at the requirement of cutting precision and efficiency of metal band sawing machine,a sawing load detection system of band sawing machine was designed,a expert system intelligent recognition strategy based on rough set data analysis（RSDA） was proposed.Cutting vibration signal was real-time collected by this system,the eigenvalue which was extracted by signal processing part was stored in database of expert system,cutting load was recognized through the comparative analysis of diagnostic model.The results indicate that,the cutting load detection system has characteristics of high recognition rate and fast response,the detection precision can reach one thousandth of load testing range.This system can meet the needs of on-line identification of band saw cutting load.

关 键 词：粗糙集数据分析 带锯床 锯切负载 专家系统 

分 类 号：TH39[机械工程—机械制造及自动化] TP273[自动化与计算机技术—检测技术与自动化装置]