2020
DOI: 10.18494/sam.2020.2671
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Acoustic Signal Analysis by Teager–Huang Transform for Milling Chatter Recognition

Abstract: Many types of sensor have been utilized to monitor milling vibration, and many analysis methods are devoted to the investigation of milling vibration or milling dynamics. In this work, a noncontact sensor and a time-frequency domain analysis method were applied to identify the state of milling vibration. A microphone was employed in practical tests to record the milling dynamics. The Teager-Huang transform (THT) was adopted for the acoustic signal analysis owing to its high resolution in the time-frequency dom… Show more

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Cited by 3 publications
(3 citation statements)
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“…Energy operators, like the squared energy and Teager-Kaiser operators, have been used in chatter detection to estimate instantaneous frequency and amplitude, along with diverse decomposition methods [179,189]. Lee et al [168] utilized the Teager-Huang transform (THT), which combines EMD with the Teager energy operator. Moreover, novel methods have been considered as an alternative to VMD.…”
Section: Time-frequency Domain Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Energy operators, like the squared energy and Teager-Kaiser operators, have been used in chatter detection to estimate instantaneous frequency and amplitude, along with diverse decomposition methods [179,189]. Lee et al [168] utilized the Teager-Huang transform (THT), which combines EMD with the Teager energy operator. Moreover, novel methods have been considered as an alternative to VMD.…”
Section: Time-frequency Domain Analysismentioning
confidence: 99%
“…* Two or more signal processing methods combined[91,136,152,159,165,179,192,196,220,348] Other methods[72,73,84,95,101,135,137,147,148,150,155,157,161,164,168,173,190,227,258,259] …”
mentioning
confidence: 99%
“…In this context, techniques based on the sensing of acoustic emission (AE) phenomena have gained increasing interest during the last few years due to their simplicity of use and the ability to monitor a wide variety of features, such as teeth breakage [ 7 , 8 ], runout [ 9 , 10 ] and chattering [ 11 , 12 ]. In particular, those techniques based on the use of noncontact sensors in the range of audible sound, such as different types of microphones [ 13 , 14 ], are particularly attractive due to the reduced intrusiveness, so they have been used for detecting the chattering phenomenon [ 15 , 16 , 17 ] and tool condition monitoring in conventional machining [ 18 , 19 ], high-speed machining [ 20 ] and abrasion processes [ 21 ].…”
Section: Introductionmentioning
confidence: 99%