【摘要】 在发动机进气总温测量过程中，受气流速度、辐射、对流、传导等因素影响，测量值常常偏离实际值。国内目前已有机构通过吹风设备获取总温恢复系数以修正气流速度引起的误差，但这种方法只是对气流速度误差进行修正，而未考虑自加热误差、防冰误差、热对流误差、热辐射误差、热传导误差等对进气总温的影响，获取的修正结果具有局限性。提出一种基于模型的总温修正方法，通过无监督的方法搜索到总温标签值并基于专家经验进行修正，再通过对历史数据的训练建立模型，以提高修正的性能。在特定进气条件和受感部下，该方法能够更全面地考虑各类误差因素，从而提供更准确的进气总温修正结果。更多还原

【Abstract】 In the process of measuring the total temperature of the engine intake, the measured value often deviates from the actual value due to factors such as air flow velocity, radiation, convection, and conduction. At present, some domestic institutions have obtained the total temperature recovery coefficient through blowing equipment to correct the error caused by air flow velocity. But this method only corrects the air flow velocity error, and does not consider the effects of errors like self-heating, anti-icing, thermal convection, thermal radiation, thermal conduction on the total inlet temperature, the correction results obtained are limited. A model-based total temperature correction method was proposed, which could search the total temperature label value through an unsupervised method and correct it based on expert experience.Then a model was established through training of historical data to improve the correction performance.Under specific inlet conditions and sensing parts, this method can take various error factors into account more comprehensively, thereby provide more accurate inlet total temperature correction results.更多还原