離散ウェーブレット変換によるフライス加工時の工具欠損検知

概要

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This paper describes an application of the discrete wavelet transform (DWT) to detect tool failure in face milling operations. The wavelet transform uses an analyzing wavelet function which is localized in both frequency and time to detect subtle time-localized changes in the input signals. In this paper, the DWT is used to detect tool failure such as small chipping and breakage of an insert tip including eccentricity of the tool rotation center. The potential uses of the DWT for in-process diagnosis of tool failure are demonstrated using both simulated and actual cutting force signals in the milling process. The results indicate that the DWT can identify tool failure with much greater sensitivity than the FFT, even when the amount of chipping is very small. In addition, the DWT enables the analyst to determine which insert tip failed, since it yields time-localized signal information.
一般社団法人日本機械学会の論文
1995-03-25