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The traditional time-frequency domain reflection method (TFDR) is difficult to accurately obtain the time-frequency distribution of the acquired signal, which seriously reduces the location accuracy of cable defects. Therefore, a cable defect localization method based on Hilbert transform (HT) and TFDR was proposed in this paper. Firstly, the Gaussian frequency domain window function was introduced by Fourier digital filtering method to suppress the interference of the acquired signal. Then, the time-frequency distribution of incident traveling wave signal and reflect traveling wave signals were obtained by HT method. Finally, the instantaneous power spectrum of time-frequency distribution was used to characterize the time-frequency energy focusing characteristics of the defect reflected traveling wave signal, and the defect position in the cable was located through the peak value of the final curve obtained. The results show that, compared with the traditional Wigner distribution method and synchronous compression transformation method, the traveling wave signal obtained by this method has higher time-frequency resolution and no cross term interference, which can locate local defects in cables more accurately.
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| 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 |
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