PROCESSING OF MILLING FORCE SIGNAL AND ISOLATION OF STATE INFORMATION OF MILLING MACHINE BASED ON SINGULAR VALUE DECOMPOSITION

Abstract

Abstract: A signal can be decomposed into the linear sum of series of component signals by singular value decomposition (SVD) when matrix is created by continuously intercepting signal. It’s proved that these component signals are orthogonal each other and have characteristic of zero-phase shift. Matrix structure can be rationally determined according to information amount of component signals. Then this SVD method is applied to the processing of a milling force signal and the results show that waveform of fundamental frequency of principal axis of milling machine is isolated completely and two component signals, whose frequencies are very close, are also isolated. Furthermore, the phenomenon of amplitude modulation hidden in this signal is discovered, the crawl of milling machine is confirmed and crawl frequency is got. The results compared with wavelet transform show that for this milling force signal, the SVD method has the much better effect of signal isolation than wavelet transform.

Key words: Matrix creation, Milling force signal, Signal isolation, Singular value decomposition

CLC Number:

TH165.3 TN911.7

ZHAO Xuezhi;CHEN Tongjian;YE Bangyan. PROCESSING OF MILLING FORCE SIGNAL AND ISOLATION OF STATE INFORMATION OF MILLING MACHINE BASED ON SINGULAR VALUE DECOMPOSITION[J]. , 2007, 43(6): 169-174.

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PROCESSING OF MILLING FORCE SIGNAL AND ISOLATION OF STATE INFORMATION OF MILLING MACHINE BASED ON SINGULAR VALUE DECOMPOSITION

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