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扩展工况传递路径分析方法改进
引用本文:莫 愁 陈吉清 兰凤崇. 扩展工况传递路径分析方法改进[J]. 振动与冲击, 2015, 34(8): 129-133
作者姓名:莫 愁 陈吉清 兰凤崇
作者单位:华南理工大学机械与汽车工程学院 广州 510640
摘    要:为提高扩展工况传递路径分析(OPAX)方法的精度,提出用逆子结构技术计算动刚度、测试信号降噪处理和用神经模糊逻辑算法测算载荷的改进方法。以一款微型客车为验证对象,测试系统水平和子结构水平频响函数、悬置动刚度以及车辆行驶中激励点和响应点加速度信号;利用Matlab软件建立程序,分别用改进OPAX方法和已有OPAX方法计算动刚度、载荷和传递路径贡献量;以用传统传递路径方法所得结果或测试结果作为标杆,将这三个参数分别与之作对应比较,比较显示改进方法得到的结果具有较高的精度。所作研究也丰富了OPAX方法理论。

关 键 词:传递路径分析  OPAX  逆子结构技术  小波降噪  神经模糊逻辑算法  

Optimizing the Operational-X Transfer Path Analysis Method
MO Chou CHEN Ji-qing LAN Feng-chong. Optimizing the Operational-X Transfer Path Analysis Method[J]. Journal of Vibration and Shock, 2015, 34(8): 129-133
Authors:MO Chou CHEN Ji-qing LAN Feng-chong
Affiliation:School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou China ,510640
Abstract: This study presents a optimized way to improve operational-X transfer path analysis (OPAX) method accuracy, which calculating dynamic stiffness using inverse sub-structuring technology, processing measured signals by wavelet de-noising technology, and predicting loads with a neural fuzzy logic algorithm. Taking a microbus as a user example, some data were measured including the frequency response functions (FRFs) of system level and component level, the dynamic stiffness of engine mounts, and the vibration acceleration signals from incentive and response points when the microbus was running. Then the dynamic stiffness, the loads and the transfer path contributions (TPCs) were calculated using respectively the optimized and existing OPAX method, by establishing program with Matlab software. Taking the dynamic stiffness, the loads and TPCs obtained by conventional transfer path analysis method or test way as benchmarks, compared them with those calculated ones, the comparison indicates that the optimized OPAX method has higher accuracy than the existing OPAX method. This study enriches the theory of OPAX method.
Keywords: transfer path analysis  OPAX  inverse sub-structuring technology  wavelet de-noising  ')"   href="  #"  >neural fuzzy logic algorithm
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