提出了一种基于主成分分析的气力输运粉体系统中堵塞故障的检测方法 ,通过采集管道内各个方位的电容测量值计算粉体的浓度 ,利用主成分分析能够抽取高维变量间相关性而实现降维的特点 ,可以快速准确地判断是否发生了粉体堵塞现象。实验结果验证了该方法的有效性。 A method based on principal component analysis (PCA) was proposed to detect the clogging of pneumatic conveying powder system. The concentration of powder was calculated by collecting the measured capacitance at each position in the pipeline. The principal component analysis (PCA) And to achieve the characteristics of dimensionality, you can quickly and accurately determine whether the phenomenon of powder clogging. Experimental results verify the effectiveness of this method.