基于SIMO NOFRFs的大型旧件损伤检测实验研究

H. Mao, Weili Tang, Yang Huanga, Zhengfeng Huang, Xinxin Li
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引用次数: 2

摘要

为了保证再制造零件的质量,有必要对废旧零件进行疲劳损伤检测。非频响函数具有系统的非线性特征,可用于检测使用部件的疲劳损伤。对于大型零件,需要建立单输入多输出系统模型(SIMO)和SIMO的无频差估计方法。利用信息熵的概念,构造了基于SIMO nofrf的新型检测指标,给出了其定义和估计方法。对不同疲劳损伤程度的减速器底盘进行脉冲锤击试验,利用锤击激励测量数据估计SIMO nofrf,进而计算出检测指标。结果表明,新的检测指标能够有效地综合评价大型废旧底盘零部件的损伤情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental Study on the Detection of Damage in Large-Scale Used Parts Using SIMO NOFRFs
In order to ensure the quality of remanufacturing parts, it is necessary to detect the fatigue damage in the used parts. NOFRFs have been characterized nonlinearity of the system and used to detect to the fatigue damage of the used parts. For the large-scale parts, the single-input multi-output system model (SIMO) and the estimation method for the NOFRFs of SIMO should be built. The new detection indexes based on SIMO NOFRFs were constructed with the concept of information entropy, the definition and estimation methods were given. The pulse hammer experiment was carried out on the used parts (reduction gearbox chassis with different fatigue damage), SIMO NOFRFs were estimated with the data of the hammer excitation measurement, and then the detection indexes could be calculated. The result showed that it is effective for the new detection index to evaluate synthetically the damage of large-scale used chassis parts.
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