基于双输入单输出ARX模型的塔机起重臂结构损伤诊断方法  

Damage Diagnosis Method of a Tower Crane Boom Based on Dual-input and Single-output ARX Model

作　　者：王胜春[1] 李文豪 安宏 安增辉 WANG Shengchun;LI Wenhao;AN Hong;AN Zenghui(School of Mechanical and Electronic Engineering,Shandong Jianzhu University,Jinan 250101,China)

机构地区：[1]山东建筑大学机电工程学院,济南250101

出　　处：《噪声与振动控制》2022年第5期102-107,176,共7页Noise and Vibration Control

基　　金：国家自然科学基金资助项目(51475277);济南市资助项目(2019GXRC064)。

摘　　要：针对塔机起重臂结构的健康诊断,提出一种基于时序数据的双输入单输出ARX的塔机起重臂结构损伤诊断模型,即以起重臂上相邻三个节点中的中间节点的动态位移数据作为输出,以中间节点的相邻两节点的动态位移数据作为输入建立诊断模型。推导模型参数的最小二乘估计,为进一步减小最小二乘法的参数估计所产生的偏差,采用花朵授粉算法(Flower Pollination Algorithm,FPA)对模型参数进行优化。通过有限元对塔机建模并对模型施加塔机起升时的动态激励载荷,获取起重臂上相关节点完好工况与损伤工况的动态位移数据。用诊断模型处理获取到的动态位移数据得到损伤特征参数,并定义损伤程度参数,以此对起重臂结构健康状态、损伤位置及损伤程度进行较为准确的诊断。A model for damage diagnosis of the tower crane boom structure based on dual-input and single-output ARX and time series data is proposed. Taking the dynamic displacement data of the middle node of the three adjacent nodes on the boom as the output, and using the dynamic displacement data of the two adjacent nodes of the middle node as the input, the diagnostic model of the boom structure is established. The least squares estimation of the model parameters is derived. In order to further reduce the deviation of the parameter estimation of the least squares method, the flower pollination algorithm(FPA) is used to optimize the model parameters. The tower crane is modeled by finite element method and the dynamic excitation load in the tower crane hoisting process is applied to the model to obtain the dynamic displacement data in the intact and damaged conditions of the relevant nodes on the boom. Using the diagnosis model, the acquired dynamic displacement data is processed to obtain the damage characteristic parameters and define the damage degree parameters, so as to make a more accurate diagnosis of the health status, damage location and damage degree of the boom structure.

关 键 词：故障诊断 塔机起重臂 结构健康诊断 双输出单输出ARX模型 

分 类 号：TN911.7[电子电信—通信与信息系统]