工业平缝机的噪声源识别与运行噪声预测研究

张志勇1,2,刘鑫1,黄彩霞3,谭涛2

振动与冲击 ›› 2016, Vol. 35 ›› Issue (20) : 220-225.

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PDF(1431 KB)
振动与冲击 ›› 2016, Vol. 35 ›› Issue (20) : 220-225.
论文

工业平缝机的噪声源识别与运行噪声预测研究

  • 张志勇1,2,刘鑫1,黄彩霞3,谭涛2
作者信息 +

Research on the noise source identification and operating noise prediction of the industrial sewing machine

  • Zhang Zhiyong1, Liu Xin1, Huang Caixia3, Tan Tao2
Author information +
文章历史 +

摘要

为了有效控制工业平缝机的运行噪声,有必要开展噪声源识别和运行噪声预测研究。首先基于分部运行法进行平缝机振动与噪声信号的测试实验,并对采集的振动信号进行低通滤波和去趋势项处理;然后根据分部运行下的噪声功率谱密度,确定出主要的噪声源是刺布挑线机构和旋梭机构;最后分别以主要噪声源附近的振动加速度信号和运行噪声声压为自变量和因变量,基于核偏最小二乘回归方法建立运行噪声的预测模型,开展了运行噪声对振动加速度的敏感性分析。噪声预测模型的精度分析表明,振动加速度与噪声声压之间的非线性关系能被准确建模,运行噪声预测模型具有非常高的精度。敏感性分析进一步确定,平缝机运行噪声对刺布挑线机构Y方向的振动最敏感,其次是旋梭机构Z方向的振动。

Abstract

In order to effectively control the operating noise of the industrial sewing machine, the noise source identification and operating noise prediction are very necessary. Firstly, an experiment for acquiring the signals of vibration and noise of the sewing machine is implemented based on the method of separated operation, and the vibration signals are processed by low pass filtering and anti-trend processing. Then the main noise sources are identified by the power spectral density of operating noise under separated operation, they are the mechanism of piercing cloth and pick-up thread and the rotary shuttle mechanism. Finally, the vibration accel-erations and the noise pressures nearby the main noise sources are treated as the independent variables and de-pendent variable, respectively, with which the operating noise predictive model is established based on the kernel partial least squares method. The accuracy analysis of the predictive model shows that the nonlinear relationship between the vibration accelerations and noise sound pressure can be accurately modeled, and the model has a very high accuracy. The sensitivity analysis further determines that the operating noise is the most sensitive to the vibration accelerations in Y direction of the mechanism of piercing cloth and pick-up thread, followed by the vibration accelerations of the rotating shuttle mechanism in Z direction. 
   

关键词

噪声源识别 / 噪声预测 / 分部运行 / 核偏最小二乘 / 敏感性分析 / 工业平缝机

Key words

Noise source identification / Noise prediction / Separated operation / Kernel partial least squares / Sensitivity analysis / Industrial sewing machine

引用本文

导出引用
张志勇1,2,刘鑫1,黄彩霞3,谭涛2. 工业平缝机的噪声源识别与运行噪声预测研究[J]. 振动与冲击, 2016, 35(20): 220-225
Zhang Zhiyong1, Liu Xin1, Huang Caixia3, Tan Tao2. Research on the noise source identification and operating noise prediction of the industrial sewing machine[J]. Journal of Vibration and Shock, 2016, 35(20): 220-225

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