A motor noise tracking method based on Empirical Mode Decomposition spectral Kurtosis Reconstruction Find Peaks (EMD-KR-FP) was proposed to track the noise of brushless DC motor. Firstly, the characteristic frequencies of radial electromagnetic force, torque ripple and resonance induced electromagnetic noise were obtained by theoretical calculation. The characteristic frequency set was defined, the time-domain signal of motor noise was decomposed by Empirical Mode Decomposition (EMD) method. Then, according to the spectral Kurtosis theory, the Intrinsic Mode Function (IMF) component was screened for signal reconstruction, the reconstructed signal was processed by Fourier transform. Peak location algorithm was used to extract the peak frequency of several peaks with the largest contribution on the spectrum and compare with the frequency of characteristic frequency set, so as to determine the cause of electromagnetic noise of the motor. Test results show that this method is effective and reduces the workload of traditional order analysis method.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |