大连理工大学学报Issue(4)：418-423,6.DOI:10.7511/dllgxb201404008
基于声发射信号的铣刀运行可靠性评估
Estimation of operational reliability for milling cutter based on acoustic emission signal
摘要
Abstract
Logistic regression model for reliability evaluation based on acoustic emission monitoring for milling cutter is investigated.According to experimental data analyses,acoustic emission and cutting force signals have linear relationship with milling cutter wear.It is an effective method for milling cutter degradation estimation.Frequency band energy related with milling cutter wear is determined to be as characteristic vector for acoustic emission signal using wavelet packet decomposition.Two reliability estimation models are constructed based on cutting force and acoustic emission signals,one uses two kinds of signals,the other j ust uses acoustic emission signal.The reliability can be estimated using the two models.The model j ust using acoustic emission signal is more convenient to estimate reliability and predict life as it is difficult to monitor cutting force in the practical working conditions.关键词
铣刀/刀具磨损/声发射/Logistic回归模型/小波分析/可靠性Key words
milling cutter/tool wear/acoustic emission/Logistic regression model/wavelet analysis/reliability分类
机械制造引用本文复制引用
李宏坤,汪寅虎,杨树华,赵鹏仕..基于声发射信号的铣刀运行可靠性评估[J].大连理工大学学报,2014,(4):418-423,6.基金项目
国家自然科学基金资助项目(51175057) （51175057）
国家高档数控机床与基础制造装备科技重大专项资助项目(2013ZX04012071) （2013ZX04012071）
