3290 KB38 KB199920252019Li, YongLiu, HanjiangZhou, Youhangštevilka:4letnik:65str. 219-229ISSN:0039-2480COBISSID_HOST:16611611URN:URN:NBN:SI:doc-ELJTHBA1enZveza strojnih inženirjev in tehnikov Slovenije etc.Strojniški vestnikfeature intensificationojačenje značilksignal vibracijspectral subtractionspektralno odštevanjevalčna paketna dekompozicijavibration signalwavelet packet decompositionzmanjšanje šuma v signaluFeature enhancement method for drilling vibration signal by using wavelet packet multi-band spectral subtraction|To address the difficulty in extracting the features of vibration signals under intense background noise, a new method is proposed based on wavelet packet multi-band spectral subtraction to intensify vibration signal features in drilling processing. First, it is assumed that the spindle vibration signal of machine idling and the vibration signal caused when the tool cuts the workpiece are independent of each other, and the machines idling signal is perceived as the "additive noise" of the monitoring signal in light of the spectral subtraction principles. Secondly, in line with the characteristics of vibration signals in the drilling process, the "additive noise" and monitoring signal are split into multiple frequency bands via wavelet packet decomposition. Eventually, spectral subtraction is performed independently in each band, and the vibration signals are reconstructed. The simulations and experimental results indicate that the new method should effectively eliminate the impact of environmental noise on the process of feature extraction to intensify the features of the monitoring signalTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Ljubljani, Fakulteta za strojništvo