Wavelet transform was utilized to get coefficients of each scale. Based the coefficient matrix, principal component analysis model was established to diagnose sensor fault.
利用小波变换得到传感器信号在各个尺度上的系数，然后根据尺度系数矩阵建立主元分析模型进行传感器故障诊断。
In this paper, Fourier transform infrared(FTIR) spectroscopy combined with principal component analysis was used to identify 58 samples of boletus bicolor from five different areas.
应用傅里叶变换红外光谱（FTIR）法测定了云南省5个不同地区58个野生双色牛肝菌子实体样品的红外光谱。
Method: Using fourier transform infrared spectrometer to record the characteristic spectra of eleven samples of Dendrobium, and to compare the spectra by PCA(principal component analysis).
方法：采用直接测定法测得了样品的FTIR，并结合主成分分析法进行排序比较。
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