TY - JOUR
T1 - A new TFA-BD method for processing non-stationary mechanical vibration signals
AU - Liu, Tingting
AU - Ren, Xingmin
AU - Qin, Weiyang
PY - 2009/8
Y1 - 2009/8
N2 - This paper begins with reviewing past research, leading to proposing a new TFA-BD method, where TFA is time-frequency analysis and BD is bind de-convolution. Subsection 2.2 of the full paper explains mathematically the two signal processing steps of TFA-BD method, including two theorems in Step Two. Subsection 3.1 gives the results of simulation experiments, whose performance index is usually given by eq.(25) of the full paper; the performance index results of our new TFA-BD method (Table 1) are compared with those of the traditional Fast ICA method (Table 1) and the comparison shows preliminarily that, for the three performance Indies, TFA-BD performance index values are about twice as high as Fast ICA ones. Subsection 3.2 gives the results of measurement experiments; for fault diagnosis, the power spectra of two types of signals separated by TFA-BD method, given in Figs.3 (a) and (b), are more helpful than the power spectrum of unprocessed mixed signals, given in Fig.4.
AB - This paper begins with reviewing past research, leading to proposing a new TFA-BD method, where TFA is time-frequency analysis and BD is bind de-convolution. Subsection 2.2 of the full paper explains mathematically the two signal processing steps of TFA-BD method, including two theorems in Step Two. Subsection 3.1 gives the results of simulation experiments, whose performance index is usually given by eq.(25) of the full paper; the performance index results of our new TFA-BD method (Table 1) are compared with those of the traditional Fast ICA method (Table 1) and the comparison shows preliminarily that, for the three performance Indies, TFA-BD performance index values are about twice as high as Fast ICA ones. Subsection 3.2 gives the results of measurement experiments; for fault diagnosis, the power spectra of two types of signals separated by TFA-BD method, given in Figs.3 (a) and (b), are more helpful than the power spectrum of unprocessed mixed signals, given in Fig.4.
KW - Blind de-convolution (BD)
KW - Fault diagnosis
KW - Signal processing
KW - Time-frequency analysis (TFA)
KW - Vibrations (mechanical)
UR - http://www.scopus.com/inward/record.url?scp=70350382797&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:70350382797
SN - 1000-2758
VL - 27
SP - 565
EP - 570
JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
IS - 4
ER -