TY - A2的他,魏盟——Haohui,王盟,晓伟盛盟-杨,徐PY - 2021 DA - 2021/09/27 TI -地毯簇绒机噪声源识别方法基于CEEMDAN-AIC SP - 5513062六世- 2021 AB -近年来,地毯簇绒机的降噪研究发展缓慢。现有的研究空白工作主要集中在噪声源识别的地毯簇绒机。MEEMD (EEMD)提出了适用于纺织机械源识别。由于MEEMD / EEMD的独特性,很难设定合适的白噪声控制参数。MEEMD (EEMD)只有通过仿真测试;然而,它还没有在数学上证明或评估。这将导致不可避免的缺陷研究的结论,甚至一些结论是错误的。本文的贡献是双重的。首先,为了识别噪声源的地毯簇绒机,一个方法基于完整的集成经验模态分解(CEEMDAN)和Akaike信息准则(AIC)提出。CEEMDAN-AIC方法应用于测量地毯簇绒机的噪声信号和分析每一个有效的组件选择。 Noise source identification is realized by combining the vibration signal characteristics of the main parts of the carpet tufting machine. CEEMDAN is used to decompose the measured noise signal of the carpet tufting machine into a finite number of intrinsic mode functions (IMFs). Then, singular value decomposition (SVD) is performed on the covariance matrix of the IMF matrix to obtain the eigenvalue. Next, the number of effective IMFs is estimated based on the AIC criterion, and the effective IMFs are selected by combining the energy characteristic index and the Pearson correlation coefficient method. Furthermore, reconstruction and comparison of the decomposed signals of MEEMD and CEEMDAN proved that CEEMDAN is effective and accurate in source recognition. The results show that the noise signal of the carpet tufting machine is a mixture of multiple noise source signals. The main noise sources of the carpet tufting machine include shock caused by the impact of the tufted needle and looped hook and vibration of the hook-driven shaft and pressure plate. It provides theoretical support for the noise reduction of the carpet tufting machine. SN - 1070-9622 UR - https://doi.org/10.1155/2021/5513062 DO - 10.1155/2021/5513062 JF - Shock and Vibration PB - Hindawi KW - ER -