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学者姓名：钟剑锋
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Abstract ：
The radial vibration signals of the rotor can provide abundant information about the health condition of the machine. In this paper, a simple vision-based measurement system is proposed to simultaneously measure two-dimensional displacements in radial directions for the rotating shaft, where the system consists of a constant density fringe pattern (CDFP), a line scan camera (LSC), and a lens. The CDFP should be installed around the surface of the rotating shaft to make the density of the fringe constant along the shaft axis, while the shaft axis is vertical to the optical axis of the LSC but not parallel to the line-array sensor of the LSC. Therefore, the density of the fringe imaged on the LSC is not constant because of the modulation of the circular surface of the shaft, and the distribution of the fringe density on the LSC is a U-shaped curve. Thus, the shaft centreline orbit can be tracked by the lowest point of the density distribution curve (DDC) of the fringe. Then, an efficient and accurate parameterized instantaneous frequency estimation method is employed to estimate the DDC of the fringe, because the variable density fringe can be regarded as an amplitude-modulated and frequency-modulated nonstationary signal whose instantaneous frequency function is equivalent to the DDC. Experimental results verify the feasibility and effectiveness of the proposed method by comparing it to the eddy current sensors.
Keyword ：
constant density fringe pattern constant density fringe pattern line scan camera line scan camera parameterized instantaneous frequency estimation method parameterized instantaneous frequency estimation method radial vibration measurement radial vibration measurement rotating shaft rotating shaft
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| GB/T 7714 | Huang, Yuexin , Liu, Dongming , Zhong, Jianfeng et al. Radial vibration measurement of rotating shaft using constant density fringe pattern and line scan camera [J]. | MEASUREMENT SCIENCE AND TECHNOLOGY , 2024 , 35 (8) . |
| MLA | Huang, Yuexin et al. "Radial vibration measurement of rotating shaft using constant density fringe pattern and line scan camera" . | MEASUREMENT SCIENCE AND TECHNOLOGY 35 . 8 (2024) . |
| APA | Huang, Yuexin , Liu, Dongming , Zhong, Jianfeng , Zhong, Shuncong . Radial vibration measurement of rotating shaft using constant density fringe pattern and line scan camera . | MEASUREMENT SCIENCE AND TECHNOLOGY , 2024 , 35 (8) . |
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针对储罐沉降问题，提出一种基于汉宁窗变密度条纹和二维视觉的储罐沉降测量系统。将设计的汉宁窗变密度条纹附于被测储罐的表面，在一定距离处通过远焦成像相机对表面的条纹进行实时采集，再通过特定的图像处理算法对图像进行处理以提取储罐的沉降位移。通过SOLIDWORKS三维建模、运动仿真和图像成像模块模拟了不同条件下储罐沉降的图像序列，对主要的测量性能影响因素、测量可行性和准确性进行了模拟分析。搭建了储罐沉降模拟实验测量系统，对系统的测量性能进行了实验分析。结果表明，本测量方法可实现储罐沉降位移的实时监测，在7.5 m距离外沉降位移测量精度优于10μm。
Keyword ：
储罐沉降 储罐沉降 汉宁窗变密度条纹 汉宁窗变密度条纹 视觉监测 视觉监测 远焦成像相机 远焦成像相机
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| GB/T 7714 | 伏喜斌 , 魏崴 , 黄学斌 et al. 基于汉宁窗变密度条纹的储罐沉降视觉测量方法 [J]. | 应用光学 , 2024 , 45 (01) : 158-165 . |
| MLA | 伏喜斌 et al. "基于汉宁窗变密度条纹的储罐沉降视觉测量方法" . | 应用光学 45 . 01 (2024) : 158-165 . |
| APA | 伏喜斌 , 魏崴 , 黄学斌 , 刘东明 , 钟剑锋 , 王东 et al. 基于汉宁窗变密度条纹的储罐沉降视觉测量方法 . | 应用光学 , 2024 , 45 (01) , 158-165 . |
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针对机器视觉定位引导系统中外界因素导致eye-in-hand方案的相机细微偏移的问题，提出一种相机偏移像素坐标矫正方法。为消除相机偏移对初始标定参数的影响，基于针孔相机投影模型，建立相机偏移像素坐标估计模型；通过设计相机确认位划分图像区域，解析每个子区域中描述相机偏移模型的参数；以物体特征点偏移后像素坐标为已知条件，求解其偏移前像素坐标，以保证初始标定参数的有效性。实验结果表明，相机偏移像素坐标矫正方法能够有效修正螺栓通孔固定的相机偏移引起的像素坐标误差，修正误差在1 pixel以内。
Keyword ：
像素 像素 数字图像相关 数字图像相关 机器视觉 机器视觉 相机偏移修正 相机偏移修正
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| GB/T 7714 | 涂钊 , 钟剑锋 , 魏崴 et al. 基于视觉定位引导的相机偏移像素坐标矫正方法 [J]. | 激光与光电子学进展 , 2024 , 61 (14) : 191-200 . |
| MLA | 涂钊 et al. "基于视觉定位引导的相机偏移像素坐标矫正方法" . | 激光与光电子学进展 61 . 14 (2024) : 191-200 . |
| APA | 涂钊 , 钟剑锋 , 魏崴 , 池守疆 , 刘东明 , 郭贵勇 et al. 基于视觉定位引导的相机偏移像素坐标矫正方法 . | 激光与光电子学进展 , 2024 , 61 (14) , 191-200 . |
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Abstract ：
The paper proposes an unsupervised deep convolutional dynamic joint distribution domain adaptive network model for the problem of bearing fault diagnosis under variable conditions, which involves missing labeling of target domain data and large differences in the distribution of source and target domain data. The model consists of the following steps: (1) converting the original vibration signal of the bearing into a time-frequency map representation and performing feature extraction on the labeled source domain samples and the unlabeled target domain samples by the deep convolutional feature extractor; (2) dynamically aligning the marginal distribution and conditional distribution of the two domain features by the marginal distribution adaptation module and the conditional distribution adaptation module, so that the trained network model can classify the unlabeled target domain samples accurately according to the label mapping relationship of the source domain samples; (3) validating the model on two rolling bearing datasets; (4) experiment with model interpretability in conjunction with XAI techniques to help us understand what the model actually does. The experimental results on two rolling bearing datasets show the validity of the proposed model.
Keyword ：
Deep domain adaption Deep domain adaption Fault diagnosis Fault diagnosis Rolling bearing Rolling bearing Variable conditions Variable conditions
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| GB/T 7714 | Zhong, Jianhua , Lin, Cong , Gao, Yang et al. Fault diagnosis of rolling bearings under variable conditions based on unsupervised domain adaptation method [J]. | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2024 , 215 . |
| MLA | Zhong, Jianhua et al. "Fault diagnosis of rolling bearings under variable conditions based on unsupervised domain adaptation method" . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING 215 (2024) . |
| APA | Zhong, Jianhua , Lin, Cong , Gao, Yang , Zhong, Jianfeng , Zhong, Shuncong . Fault diagnosis of rolling bearings under variable conditions based on unsupervised domain adaptation method . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2024 , 215 . |
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A multipoint dynamic testing vision-based system for beam-like structures based on composite fringe pattern (CFP) was proposed. The CFP was decorated on the surface of a beam as a sensor, whose image sequences were captured by a camera for dynamic identification. The CFP consists of two cosine fringe patterns. The fringes on both sides of the CFP are used to locate the measuring positions and the middle one is used to measure the spatial displacement of structures. The key advantage of the proposed method is that it can measure multipoint vibration information along the length direction of the beam at one measurement without point-by-point scanning. Experiments on two different beams were carried out, and the results show that the method can get multipoint vibration information and the modal shapes of the beam. Therefore, the vision and CFP-based measurement method is suitable for vibration monitoring and modal analysis of beam-like structures.
Keyword ：
composite fringe pattern composite fringe pattern dynamic identification dynamic identification modal shapes modal shapes vision-based vibration measurement vision-based vibration measurement
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| GB/T 7714 | Chen, Xinwei , Chi, Shoujiang , Lin, Yunlin et al. Modal analysis of beam-like structures using multipoint dynamic testing vision system based on composite fringe pattern [J]. | MEASUREMENT SCIENCE AND TECHNOLOGY , 2023 , 34 (1) . |
| MLA | Chen, Xinwei et al. "Modal analysis of beam-like structures using multipoint dynamic testing vision system based on composite fringe pattern" . | MEASUREMENT SCIENCE AND TECHNOLOGY 34 . 1 (2023) . |
| APA | Chen, Xinwei , Chi, Shoujiang , Lin, Yunlin , Zhong, Jiajie , Zhong, Shuncong , Zhang, Yan et al. Modal analysis of beam-like structures using multipoint dynamic testing vision system based on composite fringe pattern . | MEASUREMENT SCIENCE AND TECHNOLOGY , 2023 , 34 (1) . |
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Abstract ：
针对管道振动监测问题，提出基于线阵相机的管道周向二维振动同步测量方法。在待测管道圆周表面预置单密度正弦条纹，采用线阵相机作为监测器对管道表面条纹图案进行实时采集，利用时频分析方法对采集的条纹进行处理以提取条纹序列的密度变化曲线，再通过条纹密度曲线的对称中心变化及其密度值的变化计算管道周向二维振动位移。首先利用SolidWorks软件建立管道振动测量模型，通过软件视觉成像模块对管道的预设振动进行模拟测量，再对视觉测量系统的影响因素进行模拟分析，最后搭建实验测量系统并与电涡流传感器测量系统的测量结果进行对比。模拟和实验结果表明，提出的测量方法可高效地实现10 mm范围内管道周向二维振动的准确同步测量，位移测量精度优于10μm。
Keyword ：
动态测量 动态测量 周向二维振动 周向二维振动 正弦条纹 正弦条纹 管道 管道 线阵相机 线阵相机
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| GB/T 7714 | 钟剑锋 , 涂钊 , 李思钰 et al. 管道周向二维振动线阵视觉条纹同步测量 [J]. | 仪表技术与传感器 , 2023 , 8 (06) : 76-82,99 . |
| MLA | 钟剑锋 et al. "管道周向二维振动线阵视觉条纹同步测量" . | 仪表技术与传感器 8 . 06 (2023) : 76-82,99 . |
| APA | 钟剑锋 , 涂钊 , 李思钰 , 刘东明 , 池守疆 , 黄跃鑫 et al. 管道周向二维振动线阵视觉条纹同步测量 . | 仪表技术与传感器 , 2023 , 8 (06) , 76-82,99 . |
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结合频分复用技术与扫频光学相干测振仪，提出一种基于光学相干多点测振仪（sweptsource optical coherence multi-point vibrometer, SSOCMV）的转轴轴心轨迹监测方法和系统，其具有非接触式、非侵入式、高精度以及多点振动同步测量的优点。首先，对SSOCMV的系统组成和测量原理进行了介绍与分析；其次，搭建实验对比系统以验证SSOCMV系统的测量准确性，在SSOCMV系统探头的对称位置安装电涡流传感器以同步监测转轴轴心轨迹，便于对比两个系统的测量结果。实验结果表明，基于光学相干多点测振仪的转轴轴心轨迹监系统比电涡流传感器具有更高的位移分辨率和更好的信噪比。因此，SSOCMV系统在旋转机械状态监测、参数识别和故障诊断等方面具有良好的应用前景。
Keyword ：
光学相干测振仪 光学相干测振仪 动态测量 动态测量 转轴监测 转轴监测 轴心轨迹 轴心轨迹
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| GB/T 7714 | 伏喜斌 , 林杰文 , 钟剑锋 et al. 基于扫频光学相干多点测振仪的转轴轴心轨迹监测方法 [J]. | 应用光学 , 2023 , 44 (05) : 1095-1101 . |
| MLA | 伏喜斌 et al. "基于扫频光学相干多点测振仪的转轴轴心轨迹监测方法" . | 应用光学 44 . 05 (2023) : 1095-1101 . |
| APA | 伏喜斌 , 林杰文 , 钟剑锋 , 徐火力 , 刘东明 , 池守疆 et al. 基于扫频光学相干多点测振仪的转轴轴心轨迹监测方法 . | 应用光学 , 2023 , 44 (05) , 1095-1101 . |
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建立管道杂散电流模型，研究杂散电流与地铁和变电所间距、土壤电阻率、地铁牵引电压以及走行轨和埋地管道间距之间的关系及其对防腐层破损管道的干扰规律。结果表明，地铁与变电所间距的减小、地铁牵引电压的减小、土壤电阻率的增大、走行轨与埋地管道间距的增大均会减少杂散电流对管道的干扰。埋地管道杂散电流随着管道防腐层破损面积的增大而增大，且变电所附近的破损点腐蚀比较严重。从防腐层破损时的管地电位分布图可以直观确定破损点的位置，从而为管道防腐层破损点定位提供新的分析手段，为钢制天然气管道潜在高危区域的判断提供理论支撑与指导，同时能够为新建管道的地段选择提供理论依据。
Keyword ：
埋地管道 埋地管道 有限元分析 有限元分析 杂散电流 杂散电流 破损点 破损点 管地电位 管地电位
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| GB/T 7714 | 包黄莉 , 汤彬坤 , 冯阳 et al. 管道杂散电流干扰及防腐层破损分析 [J]. | 无损检测 , 2023 , 45 (05) : 1-5,15 . |
| MLA | 包黄莉 et al. "管道杂散电流干扰及防腐层破损分析" . | 无损检测 45 . 05 (2023) : 1-5,15 . |
| APA | 包黄莉 , 汤彬坤 , 冯阳 , 吴涛 , 曾小康 , 钟剑锋 et al. 管道杂散电流干扰及防腐层破损分析 . | 无损检测 , 2023 , 45 (05) , 1-5,15 . |
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The phenomena of variability and interference in the natural frequencies of weight-sensing structures applied in complex working conditions must solve the problem of reducing or eliminating resonance under low-frequency vibrations to maximize stability, accuracy and reliability. The influence laws of the additional mass with relevant characteristics on the natural frequencies, which include the components of mass, stiffness and center-of-mass distribution, etc. Firstly, the theoretical formulas of the mathematical model are given based on different characteristics of the weight-sensing structure, and various combinations of additional masses on the weight-sensing structures are adjusted in the X-, Y-, and Z-directions. The key factors to be specifically considered in the theoretical formulas are discussed through simulation analysis and experimental validation. Secondly, the locking strength of the fastening screws of some components was changed, and another component was placed on the experimental platform in the experiment. The results show that the mass, center-of-mass, stiffness distribution and other factors of the additional mass have different effects on the natural frequencies, which are important for the demand for high-precision, high-stability weighing measurement. The results of this research can provide an effective scientific evaluation basis for the reliable prediction of natural frequencies.
Keyword ：
additional mass additional mass load cell load cell natural frequency natural frequency resonance resonance weight-sensing structure weight-sensing structure
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| GB/T 7714 | Guo, Guiyong , Zhong, Shuncong , Zhang, Qiukun et al. Effect of Additional Mass on Natural Frequencies of Weight-Sensing Structures [J]. | SENSORS , 2023 , 23 (17) . |
| MLA | Guo, Guiyong et al. "Effect of Additional Mass on Natural Frequencies of Weight-Sensing Structures" . | SENSORS 23 . 17 (2023) . |
| APA | Guo, Guiyong , Zhong, Shuncong , Zhang, Qiukun , Zhong, Jianfeng , Liu, Dongming . Effect of Additional Mass on Natural Frequencies of Weight-Sensing Structures . | SENSORS , 2023 , 23 (17) . |
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针对换衣行人重识别(ReID)任务中有效信息提取困难的问题,提出一种基于语义引导自注意力网络的换衣ReID模型.首先,利用语义信息将图像分割出无服装图像,和原始图像一起输入双分支多头自注意力网络进行计算,分别得到衣物无关特征和完整行人特征.其次,利用全局特征重建模块(GFR),重建两种全局特征,得到的新特征中服装区域包含换衣任务中鲁棒性更好的头部特征,使得全局特征中的显著性信息更突出;利用局部特征重组重建模块(LFRR),在完整图像特征和无服装图像特征中提取头部和鞋部局部特征,强调头部和鞋部特征的细节信息,并减少换鞋造成的干扰.最后,除了使用行人重识别中常用的身份损失和三元组损失,提出特征拉近损失(FPL),拉近局部与全局特征、完整图像特征与无服装图像特征之间的距离.在PRCC(Person ReID under moderate Clothing Change)和VC-Clothes(Virtually Changing-Clothes)数据集上,与基于衣物对抗损失(CAL)模型相比,所提模型的平均精确率均值(mAP)分别提升了4.6和0.9个百分点;在Celeb-reID和Celeb-reID-light数据集上,与联合损失胶囊网络(JLCN)模型相比,所提模型的mAP分别提升了0.2和 5.0个百分点.实验结果表明,所提模型在换衣场景中突出有效信息表达方面具有一定优势.
Keyword ：
多头自注意力网络 多头自注意力网络 换衣行人重识别 换衣行人重识别 特征重建 特征重建 特征重组 特征重组 语义分割 语义分割
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| GB/T 7714 | 钟建华 , 邱创一 , 巢建树 et al. 基于语义引导自注意力网络的换衣行人重识别模型 [J]. | 计算机应用 , 2023 , 43 (12) : 3719-3726 . |
| MLA | 钟建华 et al. "基于语义引导自注意力网络的换衣行人重识别模型" . | 计算机应用 43 . 12 (2023) : 3719-3726 . |
| APA | 钟建华 , 邱创一 , 巢建树 , 明瑞成 , 钟剑锋 . 基于语义引导自注意力网络的换衣行人重识别模型 . | 计算机应用 , 2023 , 43 (12) , 3719-3726 . |
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