A multi-channel thermocouple array (MCTCA) sensor has been fabricated and tested for in-situ monitoring of the temperature variation under icing conditions for wind turbine blades. The obtained temperature data is analysed as a tool to predict the icing intensity (g m⁻²) and type (rime and glaze) with respect to the temperature gradients. The tests are performed in an environmental chamber with a water spraying system. The temperature of the chamber is set to −15 °C to ensure the sprayed water is supercooled before reaching the apparatus surface. Based on the various tests, the following conclusions can be drawn. Firstly, the MCATA can successfully predict icing events where the maximum temperature rise is monitored as 11.9 °C for 2 mm and 9.8 °C for 3 mm resin thicknesses with the same amount of accumulated ice. Secondly, this study suggests the temperature change per unit mass as an indicator of the ice intensity. Severe icing events can be expected when the indicator converges to zero. Finally, this study found that the surface temperature gradient is changed over time due to the amount of latent heat released where the two different environmental conditions, −15 °C and −5 °C, are considered. It could be used to evaluate the ice types.

已经制造并测试了多通道热电偶阵列（MCTCA）传感器，用于在结冰条件下对风力涡轮机叶片进行温度变化的现场监测。分析获得的温度数据，作为预测结冰强度（g m ^{-2的工具）}），并根据温度梯度键入（冰霜和釉料）。测试在带有喷水系统的环境室内进行。腔室的温度设置为-15°C，以确保喷射水在到达设备表面之前已过冷。基于各种测试，可以得出以下结论。首先，MCATA可以成功地预测结冰事件，其中在相同的积冰量下，对于2 mm的树脂厚度，最大温度上升被监测为11.9°C，对于3 mm的树脂厚度，监测为9.8°C。其次，这项研究提出了单位质量的温度变化作为冰强度的指标。当指示器收敛到零时，可能会出现严重的结冰事件。最后，这项研究发现，在考虑到两种不同的环境条件-15°C和-5°C的情况下，由于释放的潜热量，表面温度梯度会随时间而变化。它可以用来评估冰的类型。