Discrimination of varieties of brake fluid using visual-near infrared spectra

作者：Jiang Lu lu; Tan Li hong; Qiu Zheng jun; Lu Jiang feng; He Yong^*

来源：Spectroscopy and Spectral Analysis, 2008, 28(6): 1296-1299.

• brake fluid
• spectral analysis
• principal component analysis
• stepwise discriminant analysis
• brand discrimination

A new method was developed to fast discriminate brands of brake fluid by means of visual-near infrared spectroscopy. Five different brands of brake fluid were analyzed using a handheld near infrared spectrograph, manufactured by ASD Company, and 60 samples were gotten from each brand of brake fluid. The samples data were pretreated using average smoothing and standard normal variable method, and then analyzed using principal component analysis (PCA). A 2-dimensional plot was drawn based on the first and the second principal components, and the plot indicated that the clustering characteristic of different brake fluid is distinct. The foregoing 6 principal components were taken as input variable, and the band of brake fluid as output variable to build the discriminate model by stepwise discriminant analysis method. Two hundred twenty five samples selected randomly were used to create the model, and the rest 75 samples to verify the model. The result showed that the distinguishing rate was 94.67%, indicating that the method proposed in this paper has good performance in classification and discrimination. It provides a new way to fast discriminate different brands of brake fluid.

• 出版日期2008-6
• 单位浙江大学; 浙江工业大学