振动与冲击
振動與遲擊
진동여충격
JOURNAL OF VIBRATION AND SHOCK
2015年
10期
28-33
,共6页
刀具状态监测%相空间重构%混沌特征参数
刀具狀態鑑測%相空間重構%混沌特徵參數
도구상태감측%상공간중구%혼돈특정삼수
tool condition monitoring%phase space reconstruction%chaotic characteristic parameters
针对刀具磨损过程中声发射信号非线性特征，提出基于混沌理论的信号分析及特征提取方法。采用延迟时间法对去噪后的时间序列进行相空间重构，分析延迟时间及嵌入维数随刀具磨损的变化规律；用关联维数、最大 Lya-punov 指数及 Kolmogorov 熵三种混沌特征参数定量分析刀具在不同切削条件下随磨损量增大所呈现的变化规律。研究结果表明，刀具磨损声发射信号具有明显的混沌特征，三种混沌特征参数、延迟时间及嵌入维数与刀具磨损状态具有明显的对应关系，可用作刀具磨损状态监测、磨损量预测的特征参数。
針對刀具磨損過程中聲髮射信號非線性特徵，提齣基于混沌理論的信號分析及特徵提取方法。採用延遲時間法對去譟後的時間序列進行相空間重構，分析延遲時間及嵌入維數隨刀具磨損的變化規律；用關聯維數、最大 Lya-punov 指數及 Kolmogorov 熵三種混沌特徵參數定量分析刀具在不同切削條件下隨磨損量增大所呈現的變化規律。研究結果錶明，刀具磨損聲髮射信號具有明顯的混沌特徵，三種混沌特徵參數、延遲時間及嵌入維數與刀具磨損狀態具有明顯的對應關繫，可用作刀具磨損狀態鑑測、磨損量預測的特徵參數。
침대도구마손과정중성발사신호비선성특정，제출기우혼돈이론적신호분석급특정제취방법。채용연지시간법대거조후적시간서렬진행상공간중구，분석연지시간급감입유수수도구마손적변화규률；용관련유수、최대 Lya-punov 지수급 Kolmogorov 적삼충혼돈특정삼수정량분석도구재불동절삭조건하수마손량증대소정현적변화규률。연구결과표명，도구마손성발사신호구유명현적혼돈특정，삼충혼돈특정삼수、연지시간급감입유수여도구마손상태구유명현적대응관계，가용작도구마손상태감측、마손량예측적특정삼수。
Aiming at the nonlinear characteristics of acoustic emission signals from tool wear,a method of signal analysis and feature extracting based on the chaos theory was proposed.Here,the phase space reconstruction of denoised time series with the time delay method and the analysis of the variation laws of time delay and embedded dimension versus tool wear were performed firstly.Then,the variation laws of tools with increase in the amount of tool wear under different cutting conditions were analyzed using three chaotic characteristic parameters including correlative dimension,the maximum Lyapunov exponent and Kolmogorov entropy.The results showed that the acoustic emission signals from tool wear have obvious chaos characters,moreover the above three chaotic characteristic parameters,time delay and embedded dimension have significant corresponding relationships with the states of tool wear so that they can be used as parameters for condition monitoring of tool wear states and prediction of the amount of tool wear.
