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针对发动机虚拟测试系统的需要,对某型号发动机试车的14个测试参数采用最小二乘方法结合BP神经网络进行数据拟合。根据测试数据的特点进行分类研究。试验验证表明,所采用的方法结果准确,满足发动机虚拟测试系统的要求。
According to the need of engine virtual test system, 14 test parameters of a certain type of engine test were fitted with BP neural network by least square method. According to the characteristics of the test data classification studies. Experimental verification shows that the method adopted is accurate and meets the requirements of engine virtual test system.