Testing spinning spindle noise based on independent component analysis algorithm

The performance of spinning spindles has decisive influence on production efficiency and yarn quality.The goal of this paper was to investigate the noise signals generated by the spinning spindle and driving motor during operation.The spectrum analysis method and fast independent component analysis algorithm(Fast ICA) were used to compare the noise signal frequency separated from the running spindle noise with the main frequency of the motor running noise,and the results indicated that 38.88% of the noise signal frequency separated from the running spindle noise was identical with the main frequency of the motor running noise,and 44.44% of the former showed close to the later,with the minimum error 0.05%.Experimental and analytical results show the effectiveness and correctness of FastICA algorithm in use for separation of the main frequency of noise source signals.