基于独立成分分析算法的纺纱锭子噪声测试

Testing spinning spindle noise based on independent component analysis algorithm

纺纱锭子性能的优劣对生产效率和纱线质量具有决定性的影响。以纺纱锭子运转中的噪声信号和驱动电动机单独运转的噪声信号为考察对象,对纺纱锭子运转过程进行分析。利用频谱分析和快速独立成分分析(FastICA)算法将纺纱锭子运转噪声信号的分离信号与驱动电动机单独运转的噪声信号主频率进行对比,38.88%分离主频率与驱动电机单独运转的噪声主频率一致,44.44%分离主频率与驱动电动机单独运转的噪声主频率相近,最小误差为0.05%。实验与分析结果表明,FastICA算法用于噪声源信号主频率分离的有效性和正确性。

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.