三目摄影技术在旋转机械振动分析中的应用与评估  

Application and Evaluation of Trinocular Photographic Technique in Vibration Analysis of Rotating Machinery

作　　者：补生来 古丽巴哈尔·托乎提[1] 刘升[1] 买买提明·艾尼[1,2] BU Shenglai;GULBAHAR Tohti;LIU Sheng;MAMTIMIN Geni(College of Intelligent Manufacturing Modern Industry,Xinjiang University,Urumqi Xinjiang 830049,China;Urumqi Baibo Electromechanical Technology Co.,Ltd.,Urumqi Xinjiang 830002,China)

机构地区：[1]新疆大学智能制造现代产业学院,新疆乌鲁木齐830049 [2]乌鲁木齐佰博机电科技有限公司,新疆乌鲁木齐830002

出　　处：《机床与液压》2024年第23期98-106,共9页Machine Tool & Hydraulics

基　　金：国家自然科学基金地区基金项目(12162031)。

摘　　要：针对旋转机械振动分析和稳定性评估的需求,提出一种基于三目摄影的模态识别测量方法。该方法融合3台相机与字符编码标志设计,在传统多层感知器神经网络结构中引入卷积层、增加网络深度和宽度、集成“Squeeze-and-Excitation”(SE)模块,形成一个新的网络结构——HybridNetwork。HybridNetwork显著提升了旋转机械振动数据的检测准确性。应用双目立体视觉原理和信息融合技术,精确计算出目标的三维坐标,有效反映机械结构的时域振动响应。通过分析时域响应数据,成功提取出转子系统的模态频率,并与激光多普勒测振仪的结果进行对比。结果表明:该方法的相对误差控制在0.853%以内,在空间位移和振动形态上提供了更全面的视角,有效证明了其在旋转机械振动分析领域的可行性和可靠性。In response to the needs for vibration analysis and stability assessment of rotating machinery,a modal identification measurement method based on trinocular photography was proposed.This method integrated data from three cameras,character encoding marker design.By introducing convolutional layers into the traditional multi-layer perceptron neural network structure,increasing network depth&width,and integrating the′Squeeze-and-Excitation′(SE)module,a new network structure named HybridNetwork was formed.The detection accuracy of vibration data in rotating machinery was significantly improved by HybridNetwork.Utilizing the binocular stereo vision principle and information fusion technology,the 3D coordinates of the target were calculated accurately,and the time-domain vibration response of the mechanical structure was effectively reflected.By analyzing the time-domain response data,the modal frequencies of the rotor system were successfully extracted and compared with the results from a laser Doppler vibrometer.The results demonstrate that the relative error of this method is controlled within 0.853%,and it offers a more comprehensive perspective on spatial displacement and vibration patterns,effectively proving its feasibility and reliability in the field of vibration analysis of rotating machinery.

关 键 词：旋转机械 三目摄影 模态分析 振动测量 混合网络 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]