A Comparison of Wavelet Packet,Wavelet Leaders Multifractal,and p‑Leader Multifractal Method in Chatter Detection  

作　　者：Zehui Zheng Xiubing Jing Yangyang Wang Xiaofei Song Huaizhong Li 

机构地区：[1]School of Mechanical Engineering,Tianjin University,Tianjin 300354,China [2]Key Laboratory of Advanced Ceramics and Machining Technology of Ministry of Education,Tianjin University,Tianjin 300354,China [3]Grifth School of Engineering,Gold Coast Campus,Grifth University,Brisbane,QLD 4222,Australia

出　　处：《Nanomanufacturing and Metrology》2023年第2期11-18,共8页纳米制造与计量（英文）

基　　金：supported by Program of Tianjin Science and Technology(No.21ZXJBGX00020);the National Natural Science Foundation of China(Nos.51875404,52175275).

摘　　要：An efficient stability analysis contributes to the improvement of machining stability and chatter suppression.First,this paper presents three chatter detection approaches that were developed on the application of wavelet transforms.Second,the feasibility of the methods for chatter detection is verified by combining numerical simulations and experimental research.Finally,the recognition performance of the three methods is compared.The analysis results indicate that the proposed three methods can distinguish different machining states.The p-leader multifractal method(PLMM)provides the best recognition performance but takes the longest time,the wavelet leader multifractal method(WLMM)comes second,and the wavelet packet method(WPM)is the worst but takes the shortest amount of time.Therefore,the PLMM can be used for identifying signals with high accuracy requirements,whereas the WLMM or WPM can be used otherwise.

关 键 词：Chatter PLMM WLMM WPM 

分 类 号：TB383[一般工业技术—材料科学与工程]