Compressor characteristics of a single spool turboprop engine have been studied in this paper. It has been brought outhow constant power lines in the compressor characteristics of these compressors make them different from others. Constant speed lines and constant power lines have also been highlighted. A novel method of modeling of compressorof a single spool turboprop engine has also been studied in this paper. Application of neural networks in prediction of compressor characteristics has been investigated. Multilayer Perceptron feed forward neural network has been considered with different transfer functions to assess the potential capability of network in extrapolation and interpolation. Effectiveness of prediction with and without engine bleed valve open and anti-ice valve open situations have been assessed. Network Predictionshas been compared with engine test data to assess the accuracy of prediction and to quantify the build variation in the manufacture of engines. Capability of network with limited test data to predict the complete performance has also been assessed and presented in this paper.

中文翻译：

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使用人工神经网络对涡轮螺旋桨发动机的压缩机标称特性进行预测，以进行建造标准评估

本文研究了单转子涡桨发动机的压气机特性。这些压缩机的恒定特性中的恒定功率线使其与众不同。恒定速度线和恒定功率线也已突出显示。本文还研究了一种单阀芯涡轮螺旋桨发动机压缩机的新型建模方法。研究了神经网络在压缩机特性预测中的应用。已经考虑了具有不同传递函数的多层感知器前馈神经网络，以评估网络在外推和内插中的潜在能力。评估了在有和没有发动机放气阀打开和防冰阀打开情况下的预测有效性。网络预测与发动机测试数据进行了比较，以评估预测的准确性并量化发动机制造中的制造差异。本文还评估了具有有限测试数据的网络预测完整性能的能力。