Tool abrasion monitoring method based on wavelet denoising and Hilbert-Huang transformation
A wavelet denoising and tool wear technology, applied in the field of signal processing, can solve problems such as energy leakage and insufficient self-adaptation, and achieve strong adaptability, high self-adaptability, and good application prospects
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 The tool wear monitoring method based on wavelet denoising and Hilbert-Huang transform in this embodiment adopts the following steps:
 Step 1: Collect several groups of vibration signals of the same type of tool in three periods of time during operation. The three periods of time correspond to the initial wear, normal wear and severe wear of the tool; the sampling time of the three time periods is the same; different groups are the same The cutting parameters of different types of tools are different during operation.
 In this embodiment, the orthogonal test method is used to specify the three elements of cutting and tool wear, as shown in Tables 1 and 2, respectively. The cutting parameters of the milling machine are set, that is, the spindle speed, feed rate, and depth of cut. During the operation, the initial wear, normal wear and severe wear of the tool (the specified tool wear amount is 0-0.05 for its wear, 0.05-0.3mm is for normal wear, and when it is g...
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