Independent component analysis and its application in noise test of spinning spindle
Wang Min-peng · Machinery Design and Manufacture · 2012
The performance of spinning spindles decisively influences the production efficiency and yarn quality.It analyzes the noise during the running process of spinning spindles.Sound pressure signals which is collected during the experiment is analyzed and separated by rapid independent component analysis method and FastICA algorithm.Thus the source of the noise component during the running process of spinning spindles is separated and contrasted with the main frequency of the motor noise,in which 38.88% of the main frequency is identical,44.44% of the main frequency is close with the minimum error 0.05%.Experimental and analytical results show the effectiveness and correctness of FastICA algorithm used in sound pressure signals separation.