Abstract: A method for monitoring chatter in a machining process includes the following steps: collecting an original signal related to chatter in the machining process; for the original signal, obtaining a signal segment for calculation and analysis by updating data points in a sliding window with a set step-length, where the step-length refers to a number of data points updated every time in the sliding window, and is not greater than the size of the sliding window; calculating fractal dimensions of the signal segments in the sliding window by using a fractal algorithm; and comparing the calculated fractal dimension with an identification threshold to determine whether chatter occurs in the machining process. The measured signal does not need to be preprocessed by using the method, which can greatly improve calculation efficiency and can ensure accuracy of chatter identification.

Abstract: A method for monitoring chatter in a machining process includes the following steps: collecting an original signal related to chatter in the machining process; for the original signal, obtaining a signal segment for calculation and analysis by updating data points in a sliding window with a set step-length, where the step-length refers to a number of data points updated every time in the sliding window, and is not greater than the size of the sliding window; calculating fractal dimensions of the signal segments in the sliding window by using a fractal algorithm; and comparing the calculated fractal dimension with an identification threshold to determine whether chatter occurs in the machining process. The measured signal does not need to be preprocessed by using the method, which can greatly improve calculation efficiency and can ensure accuracy of chatter identification.