Comparison of signal features from time and frequency domain for chatter detection
Abstract
This paper presents the results of the research into the applicability of the features derived by statistical analysis of signals from the machining process in the recognition of occurrence and evolving of chatter vibration. Selected set of statistical features were discussed, 3 of them in the time domain, an one in the frequency domain. Effects of these signal features were discussed through analysis of the results of two experiments with machining. It was shown that standard deviation and the skewness of the force or acceleration signal have some desirable properties in recognition of the moment when chatter vibrations occur.
Keywords:
chatter vibrations / signal processing / feature extractionSource:
39th International Conference on Production Engineering of Serbia ICPES 2023, 26-27. October 2023, Novi Sad, 2023, 42-47Publisher:
- Novi Sad : Faculty of Technical Sciences
Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200105 (University of Belgrade, Faculty of Mechanical Engineering) (RS-MESTD-inst-2020-200105)
Collections
Institution/Community
Mašinski fakultetTY - CONF AU - Vorkapić, Nikola AU - Kokotović, Branko AU - Živanović, Saša PY - 2023 UR - https://machinery.mas.bg.ac.rs/handle/123456789/7005 AB - This paper presents the results of the research into the applicability of the features derived by statistical analysis of signals from the machining process in the recognition of occurrence and evolving of chatter vibration. Selected set of statistical features were discussed, 3 of them in the time domain, an one in the frequency domain. Effects of these signal features were discussed through analysis of the results of two experiments with machining. It was shown that standard deviation and the skewness of the force or acceleration signal have some desirable properties in recognition of the moment when chatter vibrations occur. PB - Novi Sad : Faculty of Technical Sciences C3 - 39th International Conference on Production Engineering of Serbia ICPES 2023, 26-27. October 2023, Novi Sad T1 - Comparison of signal features from time and frequency domain for chatter detection EP - 47 SP - 42 UR - https://hdl.handle.net/21.15107/rcub_machinery_7005 ER -
@conference{ author = "Vorkapić, Nikola and Kokotović, Branko and Živanović, Saša", year = "2023", abstract = "This paper presents the results of the research into the applicability of the features derived by statistical analysis of signals from the machining process in the recognition of occurrence and evolving of chatter vibration. Selected set of statistical features were discussed, 3 of them in the time domain, an one in the frequency domain. Effects of these signal features were discussed through analysis of the results of two experiments with machining. It was shown that standard deviation and the skewness of the force or acceleration signal have some desirable properties in recognition of the moment when chatter vibrations occur.", publisher = "Novi Sad : Faculty of Technical Sciences", journal = "39th International Conference on Production Engineering of Serbia ICPES 2023, 26-27. October 2023, Novi Sad", title = "Comparison of signal features from time and frequency domain for chatter detection", pages = "47-42", url = "https://hdl.handle.net/21.15107/rcub_machinery_7005" }
Vorkapić, N., Kokotović, B.,& Živanović, S.. (2023). Comparison of signal features from time and frequency domain for chatter detection. in 39th International Conference on Production Engineering of Serbia ICPES 2023, 26-27. October 2023, Novi Sad Novi Sad : Faculty of Technical Sciences., 42-47. https://hdl.handle.net/21.15107/rcub_machinery_7005
Vorkapić N, Kokotović B, Živanović S. Comparison of signal features from time and frequency domain for chatter detection. in 39th International Conference on Production Engineering of Serbia ICPES 2023, 26-27. October 2023, Novi Sad. 2023;:42-47. https://hdl.handle.net/21.15107/rcub_machinery_7005 .
Vorkapić, Nikola, Kokotović, Branko, Živanović, Saša, "Comparison of signal features from time and frequency domain for chatter detection" in 39th International Conference on Production Engineering of Serbia ICPES 2023, 26-27. October 2023, Novi Sad (2023):42-47, https://hdl.handle.net/21.15107/rcub_machinery_7005 .