融合词频特征的转动副间隙热成像监测模型  

Thermal imaging monitoring model for clearance of revolute pair with words frequency features

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作  者:黄沈权[1] 王凤虎 潘拓辰 周宏明[1] 龙安 HUANG Shenquan;WANG Fenghu;PAN Tuochen;ZHOU Hongming;LONG An(College of Mechanical and Electrical Engineering,Wenzhou University,Wenzhou 325000,China)

机构地区:[1]温州大学机电工程学院,浙江温州325000

出  处:《计算机集成制造系统》2023年第12期3964-3973,共10页Computer Integrated Manufacturing Systems

基  金:浙江省自然科学基金一般项目(LY19G010007);国家自然科学基金资助项目(71501143,52272376);温州市重大科技专项资助项目(2018ZG026)。

摘  要:转动副的配合间隙直接影响着其配合精度,考虑到含间隙的转动副运行时会由于碰撞产生能量损耗,提出一种融合词频特征的转动副热成像间隙监测方法。为了有效获取异常热量分布,提出基于欧式-通道分离的含间隙转动副特征热图像提取方法。通过构建视觉词袋模型提取特征热图像的词频矩阵,基于多层感知机提取词频矩阵的词频特征。采用嵌入注意力机制的卷积神经网络对含间隙转动副的特征热成像提取特征。将词频特征融入热图像特征,提出基于特征融合的转动副间隙监测方法,克服采用单一热图像特征进行间隙监测准确率不高的问题。最后搭建转动副间隙故障模拟实验台,验证了融合特征的转动副间隙监测方法的有效性。The matching accuracy of the revolute pair is directly affected by its matching clearance.Considering the energy loss caused by collision in the operation of the revolute pair with clearance,a thermal image monitoring method was proposed for clearance of revolute pair with words frequency features.To effectively obtain the abnormal heat distribution,the feature thermal image extraction method of revolute pair with clearance based on the Euclidean-channel separation was proposed.Words frequency matrix of feature thermal image was extracted by constructing the bag model of visual words,and words frequency feature of words frequency matrix was extracted using multi-layer perceptron.The convolutional neural network embedded with attention mechanism was used to extract the feature from feature thermal imaging of the revolute pair with clearance.Through integrating the words frequency feature into the thermal image feature,a clearance monitoring method based on feature fusion was proposed,which could overcome the problem of low accuracy of clearance monitoring using single thermal image feature.Finally,a revolute pair clearance fault simulated experiment platform was built to verify the effectiveness of the revolute pair clearance monitoring method based on fusion features.

关 键 词:融合特征 特征热图像 转动副间隙 词频特征 卷积神经网络 

分 类 号:TH124[机械工程—机械设计及理论] TP18[自动化与计算机技术—控制理论与控制工程]

 

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