测控技术
測控技術
측공기술
MEASUREMENT & CONTROL TECHNOLOGY
2009年
12期
13-16
,共4页
张锴锋%聂鹏%王东磊%林士龙%谌鑫
張鍇鋒%聶鵬%王東磊%林士龍%諶鑫
장개봉%섭붕%왕동뢰%림사룡%심흠
小波分析%数控刀具%磨损%监测%声发射
小波分析%數控刀具%磨損%鑑測%聲髮射
소파분석%수공도구%마손%감측%성발사
wavelet analysis%NC tool%wear%monitoring%acoustic emission
研究了数控刀具切削过程中声发射(AE)信号的产生机理和特点,提出了利用小波分解和小波包分解技术提取AE信号特征参数的方法监测刀具的磨损状态,并通过实例验证了该方法在刀具磨损监测中的可行性.
研究瞭數控刀具切削過程中聲髮射(AE)信號的產生機理和特點,提齣瞭利用小波分解和小波包分解技術提取AE信號特徵參數的方法鑑測刀具的磨損狀態,併通過實例驗證瞭該方法在刀具磨損鑑測中的可行性.
연구료수공도구절삭과정중성발사(AE)신호적산생궤리화특점,제출료이용소파분해화소파포분해기술제취AE신호특정삼수적방법감측도구적마손상태,병통과실례험증료해방법재도구마손감측중적가행성.
The mechanism and characteristics of acoustic emission (AE) signals in the cutting process of NC tool are investigated. Based on the technologies of wavelet decomposition and wavelet packet decomposition, the methods of monitoring the wear state of NC tools with the characteristics parameters of AE signals are presented. Applying the methods to sample signals, results show that the methods are feasible.
