Name
Abstract | ||
|---|---|---|
Virtually vibration signals are always composed of many frequency components. Using the least squares method, a new multi-frequency identification algorithm has been proposed to identify the amplitude and phase of each component of a multi-frequency signal, and it will work well as long as the main frequency values are known. Based on this algorithm, two similar optimization procedures have been presented to obtain accurate frequency values for a sine-wave signal and a bi-tone signal, respectively. Assisted with band-pass filters and these optimization procedures, the multi-frequency identification algorithm can successfully identify the multi-frequency components of a signal. The multi-frequency identification method can be used to identify oil-film coefficients of journal bearing. And some reliable oil-film coefficients have been reached. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.dsp.2008.07.008 | Digital Signal Processing |
Keywords | Field | DocType |
signal processing,oil-film coefficients,accurate frequency value,vibration signal,bi-tone signal,multi-frequency identification method,frequency estimation,multi-frequency component,frequency component,multi-frequency identification,multi-frequency signal,new multi-frequency identification algorithm,sine-wave signal,multi-frequency identification algorithm,band pass filter,least square method | Least squares,Signal processing,Pattern recognition,Filter (signal processing),Bearing (mechanical),Artificial intelligence,Vibration,Analog signal,Amplitude,Mathematics,Signal transfer function | Journal |
Volume | Issue | ISSN |
19 | 4 | Digital Signal Processing |
Citations | PageRank | References |
6 | 0.76 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanxing Zhao | 1 | 6 | 0.76 |
| Fengcai Wang | 2 | 6 | 0.76 |
| Hua Xu | 3 | 6 | 0.76 |
| Jun Zhu | 4 | 6 | 0.76 |