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数据处理是发动机特性试验的一个重要内容,是测取发动机各项指标,进行动力性、经济性分析的前提和基础。利用Matlab强大的数据处理功能和绘图功能对发动机的性能试验数据进行处理,并采用神经网络学习发动机外特性曲线的方法得到曲线,既提高了工作效率,又可得出较为精确可靠的动机外特性曲线。
Data processing is an important part of the engine performance test. It is the prerequisite and basis for the determination of various indexes of the engine and its dynamic and economic analysis. Using Matlab’s powerful data processing and mapping functions to process the performance test data of the engine and using neural network to learn the curve of the engine’s external characteristic curve, not only the work efficiency but also the more precise and reliable motivation characteristics curve.