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- W3205192693 abstract "In this work, acquired machining sound signals are analyzed using two signal processing techniques, i.e., Empirical Mode decomposition (EMD) and the new Local Mean Decomposition (SBLMD) technique. Among this the most suitable one for regenerative chatter identification is selected. Thereafter, correlation coefficient (CC) and relative energy rule (RER) has been invoked to detect the major PF’s. Further, tool chatter features are explored by using a novel Chatter Indicator (CI). Finally, confirmation test have been performed in order to validate the proposed methodology and outcomes show that proposed chatter indicator can be effectively used to detect tool chatter." @default.
- W3205192693 created "2021-10-25" @default.
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- W3205192693 date "2022-01-01" @default.
- W3205192693 modified "2023-09-26" @default.
- W3205192693 title "Comparative study of EMD and SBLMD signal processing techniques to assess vibration in machining" @default.
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- W3205192693 doi "https://doi.org/10.1016/j.matpr.2021.10.022" @default.
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