Machining Chatter Monitoring Based on Wavelet Packet Energy Kurtosis Index of Vibration Signals

Peisheng Lou, Kaibo Lu, Hongwei Fan, Wencheng Pan, Fengshou Gu, Andrew Longstaff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Chatter vibrations during machining operations always restrict the process quality and efficiency, leading to severe damage to the workpiece and shortened tool life. Therefore, accurate and timely diagnosis of chatter will help maintain stable operations. This paper presents an effective method for chatter monitoring in turning operations using wavelet packet energy kurtosis index of the online measured signals. The characteristics of vibration from stable to unstable state are compared in the time, frequency and timefrequency domains, respectively. Considering that the chatter information at its early stage is generally very weak, the wavelet transform is proposed to amplify this feature. Then, the feature information is further explored using wavelet packet decomposition. The wavelet packet energy ratio of each node is calculated to represent the evolution of chatter. Accordingly, the chatter monitoring and prediction indicators using the wavelet energy kurtosis index are constructed. Finally, experimental tests were carried out and the results showed that the proposed method enables to effectively improve the response to chatter vibrations and overcome uncertainties by noises. This study could be beneficial to increasing the time available for the control response to chatter occurrence.
Original languageEnglish
Title of host publicationProceedings of IEEE-CYBER 2020
Subtitle of host publicationIEEE International Conference on CYBER Technology in Automation, Control and Intelligent Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication statusAccepted/In press - 20 Jul 2020
Event2020 IEEE International Conference on CYBER Technology in Automation, Control and Intelligent Systems - Xi'an, China
Duration: 10 Oct 202014 Oct 2020
https://ieee-cyber.org/2020/

Conference

Conference2020 IEEE International Conference on CYBER Technology in Automation, Control and Intelligent Systems
Abbreviated titleIEEE-CYBER 2020
CountryChina
CityXi'an
Period10/10/2014/10/20
Internet address

Fingerprint Dive into the research topics of 'Machining Chatter Monitoring Based on Wavelet Packet Energy Kurtosis Index of Vibration Signals'. Together they form a unique fingerprint.

Cite this