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For the identification of wind turbine blade defect types. First, a physical models of thermal reflection coefficients of the defect were established. A new identification method of wind turbine blade defects based on the combination of thermal signal reconstruction technology and thermal reflection coefficient of defective materials was proposed. Then, the wind turbine blades specimen containing (bubble, impurity, wrinkle) was performed by the longpulse infrared thermogaphy technology. The experiments were subjected to nondestructive testing for two heating times. It is found from the experiments results that the defects of wind turbine blade specimen could identify by longpulse infrared thermal imaging technology at temperature cooling process. Experiments have proved that the physical models of the thermal reflection coefficient are feasible. The error between the test results and the prediction results is very small.
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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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