测量不确定度在电机试验数据拟合中的研究

研究试验数据处理问题对电机系统的分析具有重要意义。在数据处理中,通常采用最小二乘支持向量机(LS-SVM)的方法进行电机试验数据拟合。但当电机试验数据集中存在异常点时,拟合曲线和真实曲线会出现较大误差,影响试验结果的准确性。针对这一问题,该文将测量不确定度理论应用在电机试验数据拟合中,构建了相应的数学模型,并通过小样本电机试验数据的拟合对该模型进行了试验分析。结果表明,采用测量不确定度理论的方法后,使用最小二乘支持向量机的方法取得了更优拟合效果,具有较高的工程应用价值。

Research on Uncertainty in Motor Test Data Fitting

To research the problem of test data processing is significant to the analysis of system in the motor.The method of least squares support vector machines(LS-SVM) is usually used to fit test data during the data processing in motor.However,if there are outliers of test data set in the motor,it will appear a large difference between the fitting curves and the real curves and affect the accuracy of test results.So it used the theory of uncertainty in data fitting and constructed a corresponding mathematical mo...