主成分分析(Principle Component Analysis, PCA)是最为常用的特征提取方法，被广泛应用到各领域，如图像处理、综合评价、语音识别、故障诊断等。-Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as image processing, comprehensive evaluation, speech recognition, fault diagnosis.