Query：
学者姓名：关向雨
Refining：
Year
Type
Indexed by
Source
Complex
Former Name
Co-
Language
Clean All
Abstract ：
为实现不同电工材料表面机械振动的非接触测量,搭建了全光纤 1 550 nm激光多普勒测振(LDV)系统,针对不同电工材料表面粗糙度对反射光的影响以及 IQ 信号不平衡因子对解调波形的影响,提出一种融合材料表面粗糙度光学补偿和正交解调补偿的综合补偿算法.首先基于射线光学分析不同电工材料表面粗糙度对收发一体光学镜头耦合效率的影响,提出采用平凹-凹凹-平凸透镜方案的光学天线前端补偿算法.分析了 IQ信号幅相不平衡对解调结果的影响,通过镜像抑制算法消除该影响,建立不平衡模型验证补偿算法的有效性.搭建了不同电工材料标定平台和气体绝缘开关(GIS)设备振动平台,对所提出的光学和信号补偿算法进行验证.结果表明,该文所提光学补偿方法使不同电工材料表面的激光平均耦合效率提高了 21.92%,信号补偿前的解调信号存在 25.04 dB 的镜像干扰比率(IIR),经过 IQ 信号补偿后,信号的信噪比提高了25.8 dB.验证了所研发的系统能够应用于不同电工设备表面 3～10 m 距离和 10 Hz～2 kHz 频率范围机械振动的无损带电检测.
Keyword ：
光学天线 光学天线 射线光学仿真 射线光学仿真 正交解调补偿 正交解调补偿 激光多普勒测振 激光多普勒测振
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 赖泽楷 , 关向雨 , 涂嘉毅 et al. 基于激光多普勒测振的电力设备表面振动测量及补偿算法 [J]. | 电工技术学报 , 2025 , 40 (6) : 1707-1717 . |
| MLA | 赖泽楷 et al. "基于激光多普勒测振的电力设备表面振动测量及补偿算法" . | 电工技术学报 40 . 6 (2025) : 1707-1717 . |
| APA | 赖泽楷 , 关向雨 , 涂嘉毅 , 林建港 , 徐欣灵 . 基于激光多普勒测振的电力设备表面振动测量及补偿算法 . | 电工技术学报 , 2025 , 40 (6) , 1707-1717 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The electromagnetic force generated by the internal discharge defects of power equipment will trigger an abnormal Vibration source, which is transmitted to the surface of the equipment through the internal rigid components and gas-liquid insulating medium. As a result, potential mechanical defects within the equipment can be detected by Vibration characteristics on the surface of the equipment. Laser Doppler Vibration (LDV) is a non-contact Vibration measurement technology widely used in various fields. However, the application of commercially available general-purpose LDV Vibration measurement devices on power equipment has many shortcomings, such as insufficient optical coupling and weak resistance to strong magnetic interference. This paper proposes a comprehensive compensation algorithm for the unadaptable surface roughness of electrical materials and unbalanced amplitude-phase of IQ Signals, which exist in the detection of LDV in the charged Operation of power equipment.Firstly, the 1 550 nm all-fiber heterodyne interferometric Vibration measurement System is designed and constructed according to the principle of LDV Vibration measurement. The Vibration signal reduction is realized using the baseband signal quadrature demodulation algorithm. Second, the surface roughness of different electrical materials is obtained by a roughness tester, and a three-dimensional ray optical compensation model is established considering the combination of rough electrical material surfaces and lenses. Third, the mirror image suppression algorithm is used to correct the effect of IQ amplitude-phase imbalance on the demodulation results, and the effectiveness of the correction algorithm is discussed. Finally, the Vibration test platforms and the actual Vibration measurement experiment platform of Gas Insulated Switchgear (GIS) are constructed.The results show that the average coupling efficiency of the LDV is increased by 21.92% for different electrotechnical materials after adding the proposed optical antenna compensation, which verifies the feasibility of the optical antenna structure design. Under strong magnetic environmental interference, the IQ signal has an image interference ratio (HR) of 25.04 dB and an orthogonality imbalance of 0.012. The signal-to-noise ratio of the demodulated signal is improved by 25.8 dB after the compensation of the IQ signal.The calibration test of LDV for electrical materials shows that the developed equipment has accurate measurement results and high signal-to-noise ratios. The stability of distance response for different electrical materials can be satisfied in long-distance energized detection of electrical equipment. In the actual power equipment charged Operation, the improved LDV System is easy to install and avoids the transmission loss caused by reflective stickers. Compared with traditional acceleration sensors, the measured time domain waveforms are closer to sinusoidal, and the frequency domain graphs are less noisy. Thus, the Vibration component caused by defects can be clearly seen. The following work will improve the LDV equipment by adding Vibration mirrors to realize multi-point scanning Vibration measurement, obtain the full-field data of Vibration on the surface of the power equipment, and carry out the subsequent inverse analysis of the internal structure. © 2025 China Machine Press. All rights reserved.
Keyword ：
Laser Doppler Vibration (LDV) Laser Doppler Vibration (LDV) optical antenna optical antenna orthogonal demodulation compensation orthogonal demodulation compensation ray optical Simulation ray optical Simulation
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Lai, Z. , Guan, X. , Tu, J. et al. Surface Vibration Measurement and Compensation Algorithm of Power Equipment Based on Laser Doppler Vibration; [基于激光多普勒测振的电力设备表面振动测量及补偿算法] [J]. | Transactions of China Electrotechnical Society , 2025 , 40 (6) : 1707-1717 . |
| MLA | Lai, Z. et al. "Surface Vibration Measurement and Compensation Algorithm of Power Equipment Based on Laser Doppler Vibration; [基于激光多普勒测振的电力设备表面振动测量及补偿算法]" . | Transactions of China Electrotechnical Society 40 . 6 (2025) : 1707-1717 . |
| APA | Lai, Z. , Guan, X. , Tu, J. , Lin, J. , Xu, X. . Surface Vibration Measurement and Compensation Algorithm of Power Equipment Based on Laser Doppler Vibration; [基于激光多普勒测振的电力设备表面振动测量及补偿算法] . | Transactions of China Electrotechnical Society , 2025 , 40 (6) , 1707-1717 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
传统的激光测振仪多使用氦氖激光器，不满足人眼安全条件，在户外容易受到太阳光干扰。其使用的光学天线大多数仅能工作于氦氖激光器的辐射波段，同时存在结构复杂、成本较高、收集效率低、工作距离较短等不足。为了解决以上问题，基于近红外波段透镜组的扩束和聚焦原理，以Zemax作为设计工具，以点列图和波前图为主要分析手段，设计并制作了一款可工作于1 550 nm的三片式收发一体光学天线，结构简单，成本低。分析结果显示：在0.3～15.0 m的工作距离范围内均可获得直径小于2 mm的聚焦光斑；测试结果显示其最大收集效率可达到51.6%。同时，将该光学天线应用于自主设计搭建的激光多普勒测振仪中，实现了不同工作距离下的振动测量，有效扩展了激光测振仪的应用范围和应用场景，在机械、航空、建筑、医学、农学等领域有很大的应用潜力。
Keyword ：
Zemax Zemax 扩束聚焦镜 扩束聚焦镜 激光多普勒测振仪 激光多普勒测振仪
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 郑帅君 , 谢涛 , 马赛 et al. 激光多普勒测振仪中光学天线的优化设计与测试 [J]. | 武汉工程大学学报 , 2024 , 46 (04) : 431-438 . |
| MLA | 郑帅君 et al. "激光多普勒测振仪中光学天线的优化设计与测试" . | 武汉工程大学学报 46 . 04 (2024) : 431-438 . |
| APA | 郑帅君 , 谢涛 , 马赛 , 张余豪 , 张聪 , 关向雨 et al. 激光多普勒测振仪中光学天线的优化设计与测试 . | 武汉工程大学学报 , 2024 , 46 (04) , 431-438 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
为获取交变电磁力作用下气体绝缘封闭金属开关设备（GIS）内部导体与外壳之间机械振动的传递和分布特性，该文采用结构声强法构建了GIS振动能量流动的可视化模型。通过电磁-结构多场耦合方法构建了工频电流激励下的GIS振动功率流模型，并进行了物理模拟试验验证。应用所构建的GIS功率流模型提取了微元的应力张量及速度结果，进而求解了振动能量流的空间分量，并采用空间向量和流线合成的方法实现了GIS腔体振动能量流动的可视化呈现。对比了触头正常接触和触指缺失缺陷下的GIS腔体振动能量流动特性的差异，结果表明，相比于接触正常状态，在触头接触缺陷状态下，总输入功率流100 Hz与200 Hz分量分别从6.64×10~(-6) W和4.81×10~(-6) W下降到6.35×10~(-6) W和4.55×10~(-6) W，使得外壳振动信号基频幅值比接触正常状态下减小6.25%。分析结果对于开展基于振动检测的GIS机械缺陷诊断提供了技术支持。
Keyword ：
功率流 功率流 振动 振动 气体绝缘设备 气体绝缘设备 结构声强法 结构声强法 触头 触头
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 王扬程 , 关向雨 , 陈志鹏 et al. 基于结构声强法的GIS机械振动传递特性 [J]. | 电工技术学报 , 2024 , 39 (16) : 5162-5171 . |
| MLA | 王扬程 et al. "基于结构声强法的GIS机械振动传递特性" . | 电工技术学报 39 . 16 (2024) : 5162-5171 . |
| APA | 王扬程 , 关向雨 , 陈志鹏 , 林建港 , 赵俊义 . 基于结构声强法的GIS机械振动传递特性 . | 电工技术学报 , 2024 , 39 (16) , 5162-5171 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
High quality 3D reconstruction technique is essential for digital twin (DT) application of power equipment. This work presents a PointNet-MLS combined architecture to realize component segmentation and surface reconstruction of gas insulated switchgear (GIS) with complex background interference. In order to make the GIS ontology point cloud obtained continuous and smooth, greedy projection triangulation is then applied. Lastly, the local features of the GIS point cloud are enhanced, and the three-dimensional geometric properties of the GIS apparatus are better restored using the moving least squares approach. The results show that the mean intersection over union (mIoU) of PointNet++ algorithm for on-site GIS point cloud segmentation can reach 92.1%, which is higher than 32.8% and 13.7% of K-means and PointNet algorithms, respectively. The proposed MLS algorithm can effectively repair the defects of GIS point cloud after greedy projection triangulation, so that the repaired surface part can maintain the three-dimensional shape characteristics of the GIS point cloud. © 2024, Beijing Paike Culture Commu. Co., Ltd.
Keyword ：
Electric switchgear Electric switchgear Image reconstruction Image reconstruction Surface reconstruction Surface reconstruction Triangulation Triangulation
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Lv, Chaowei , Guan, Xiangyu , Liu, Jiang et al. 3-D Segmentation and Surface Reconstruction of Gas Insulated Switchgear via PointNet-MLS Architecture [C] . 2024 : 187-193 . |
| MLA | Lv, Chaowei et al. "3-D Segmentation and Surface Reconstruction of Gas Insulated Switchgear via PointNet-MLS Architecture" . (2024) : 187-193 . |
| APA | Lv, Chaowei , Guan, Xiangyu , Liu, Jiang , Liao, Jingwen . 3-D Segmentation and Surface Reconstruction of Gas Insulated Switchgear via PointNet-MLS Architecture . (2024) : 187-193 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The fault characteristics of photovoltaic (PV) systems are greatly influenced by environmental factors, which causes grand challenges in PV fault detection. Therefore, this paper proposes an anomaly detection algorithm for grid-connected PV system via anomaly-transformer. Firstly, a PV platform was built to carry out fault experiments under different meteorological conditions, and a total of 218 sets of DC voltage/current datasets were constructed. Aiming at the characteristics of multi-dimensional time series data, the multi-branch anomaly-attention mechanism is used to calculate prior-association and series-association, then use transformer to reconstruct the loss values based on the obtained data. The association discrepancy is calculated as the index of anomaly detection, so as to achieve the goal of time-based localization of PV faults. The experimental results show that compared with graph deviation network (GDN), unsupervised anomaly detection (USAD) and other algorithms, the Precision of anomaly-transformer reaches 76.45% and 95.41% respectively in sunny and cloudy test data sets, and the F1-score reaches 86.65% and 97.65% respectively. It can accurately locate the fault time, which provides an effective method for PV fault detection. © Beijing Paike Culture Commu. Co., Ltd. 2024.
Keyword ：
Anomaly detection Anomaly detection Deep learning Deep learning Electric transformer testing Electric transformer testing Fault detection Fault detection Timing circuits Timing circuits
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Fu, Xiaoying , Jiang, Wujie , Zhang, Yanfeng et al. Fault Detection for Grid-Connected Photovoltaic System via Anomaly-Transformer Technique [C] . 2024 : 59-67 . |
| MLA | Fu, Xiaoying et al. "Fault Detection for Grid-Connected Photovoltaic System via Anomaly-Transformer Technique" . (2024) : 59-67 . |
| APA | Fu, Xiaoying , Jiang, Wujie , Zhang, Yanfeng , Xiong, Hengping , Guan, Xiangyu . Fault Detection for Grid-Connected Photovoltaic System via Anomaly-Transformer Technique . (2024) : 59-67 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Abnormal conditions of field photovoltaic (PV) array such as open-circuit, short-circuit, and partial shading are embedded in DC side voltage/current curves. Besides, meteorological factors as solar radiation, wind speed, and ambient temperature can also influence fault behaviors. To realize abnormal identify of PV array under environmental interference, this paper presents a graph attention network (GAT) based fault detection algorithm for PV array. Fault simulation experiments are conducted on grid-connected PV array, and the voltage/current curves of the PV DC side under different states (normal, open-circuit, short-circuit, and partial shading) were collected to build dataset. One-dimensional convolution and two parallel graph attention layers are adopted to extract temporal and dimensional features of the voltage/current series. A gated recurrent unit (GRU) is employed to capture the long-term dependencies of the time-series data. Fully connected (FC) layers and variational auto-encoder (VAE) are combined optimized for detecting and locating the PV abnormal events. Model performance are compared with Robust Anomaly Detection (OmniAnomaly), Transformer Networks for Anomaly Detection (TranAD), and Long Short-Term Memory (LSTM), result show that the proposed grid-connected PV array fault detection model achieves an accuracy of 96.8% on the test dataset, providing an effective method for fault diagnosis of grid-connected PV systems under different meteorological conditions. © Beijing Paike Culture Commu. Co., Ltd. 2024.
Keyword ：
Anomaly detection Anomaly detection Fault detection Fault detection Feature extraction Feature extraction Long short-term memory Long short-term memory Statistical tests Statistical tests Time series Time series Wind Wind
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Jiang, Wujie , Fu, Xiaoying , Zhang, Yanfeng et al. Anomaly Detection for Grid-Connected Photovoltaic Array via Graph Attention Mechanism [C] . 2024 : 759-769 . |
| MLA | Jiang, Wujie et al. "Anomaly Detection for Grid-Connected Photovoltaic Array via Graph Attention Mechanism" . (2024) : 759-769 . |
| APA | Jiang, Wujie , Fu, Xiaoying , Zhang, Yanfeng , Xiong, Hengping , Wen, Yihan , Guan, Xiangyu . Anomaly Detection for Grid-Connected Photovoltaic Array via Graph Attention Mechanism . (2024) : 759-769 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
针对气体绝缘组合电器(Gas Insulated Switchgear, GIS)红外巡检中图像对比度低、易受道路等背景辐射干扰，各组件温升差异难以直接提取的不足，提出了基于多光谱语义分割和目标检测的GIS各组件红外特征智能识别算法。采用红外-可见光双光谱成像系统，构建了现场变电站GIS的红外和可见光多光谱数据集；基于MF-net多光谱语义分割框架，采用双分支编码器分别提取GIS外壳红外和可见光特征信息，进而在译码器上实现多光谱特征融合和GIS本体红外图像分割，从而排除了环境背景辐射对GIS组件识别和温升特性提取的影响；将分割后的GIS本体红外图像进行主母线、分支母线、互感器、断路器和隔离开关等组件标记，随后采用YOLOv4算法实现对GIS不同组件的识别。结果表明与未进行语义分割GIS红外组件识别模型相比，所提出模型可以达84.2%平均识别准确率，其中电流互感器精确度达93.68%、断路器精确度达92.68%、召回率达96.20%和F1值得分0.94,GIS组件温升识别能够去除道路等高辐射背景对测温结果干扰，对提高户外GIS设备温升红外热成像的结果可靠性和智能化具有应用价值。
Keyword ：
GIS GIS MFNet MFNet YOLOv4 YOLOv4 可见光图像 可见光图像 红外图像 红外图像 语义分割 语义分割
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 王炜斌 , 林熠 , 刘江 et al. 基于多光谱语义分割的GIS组件红外特征识别方法 [J]. | 电气开关 , 2024 , 62 (02) : 37-42,47 . |
| MLA | 王炜斌 et al. "基于多光谱语义分割的GIS组件红外特征识别方法" . | 电气开关 62 . 02 (2024) : 37-42,47 . |
| APA | 王炜斌 , 林熠 , 刘江 , 关向雨 . 基于多光谱语义分割的GIS组件红外特征识别方法 . | 电气开关 , 2024 , 62 (02) , 37-42,47 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Gas insulated switchgear (GIS) is widely used in power systems due to its advantages of high transmission efficiency, long operating life and small footprint. In addition to the insulation failure, the mechanical failure at the contact is also one of the main reasons for the safe operation of GIS equipment. Therefore, timely detection of internal mechanical defects can effectively reduce the occurrence of accidents. Vibration detection is one of the important methods to find GIS mechanical defects. Some scholars have carried out mathematical modeling and mechanism analysis of GIS vibration, but have not paid attention to the essence of vibration transmission during GIS operation. The traditional vibration analysis method has limitations when dealing with GIS vibration. Single physical quantities such as stress, velocity and acceleration can characterize the vibration transmission status to a certain extent, but they cannot describe the energy transmitted by each vibration path well. Therefore, new vibration evaluation indexes need to be adopted. In this paper, the mechanical power flow method is used to study the vibration transmission characteristics of GIS under different contact states, and the internal relationship between the contact state and the shell vibration characteristics is studied, so as to provide a basis for the mechanical vibration detection of GIS under electrical contact states. Firstly, the vibration calculation model of GIS under power frequency current excitation is established by using the all-transient electromagnetic-structure multi-field coupling method, and the vibration of the shell under different contact state and different current is obtained. Secondly, the GIS test platform is set up and the flow experiment is carried out to verify the validity of the numerical calculation model. Thirdly, the GIS power flow model is used to extract the stress tensor and velocity results of the micro elements, and then the formula is used to solve the spatial component of the vibration energy flow, and the visualization of the vibration energy flow is realized by the method of vector and streamline synthesis. Finally, the power flow model is used to analyze the process of GIS vibration transmission under different contact states, and the difference of GIS power flow under normal and defective states is studied. The results show that the 100 Hz and 200 Hz components of the total input power flow are 6.64×10-6 W and 4.81×10-6 W respectively when the contact is normal, and the 100 Hz and 200 Hz components of the total input power flow are 6.35×10-6 W and 4.55×10-6 W respectively when the contact is defective. The total input power of the system in the normal state is greater than that in the defect state, so the fundamental frequency amplitude of the shell vibration signal in the normal state is greater than that in the contact defect state. When the contact defect occurs in GIS contacts, the change of the current path of the contact leads to the distortion of the surrounding magnetic field, and the vibration state of other components changes compared with the normal contact state. In the contact defect state, the power transmitted to the air through sound is greater than that in the normal contact state, so the GIS defects in actual operation will generate more noise. The power flow transmitted by the contact when contacting the defect is obviously different from that in normal condition, so the power flow can be used as an important basis for judging the state of the contact. In the following work, we will carry out power flow analysis on the field multi-cavity GIS equipment to further improve the power flow model. © 2024 China Machine Press. All rights reserved.
Keyword ：
contactor contactor Gas insulated switchgear (GIS) Gas insulated switchgear (GIS) power flow power flow structural intensity method structural intensity method vibration vibration
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Y. , Guan, X. , Chen, Z. et al. Energy Transfer Characteristics of GIS Mechanical Vibration Based on Structural Intensity Method; [基于结构声强法的 GIS 机械振动传递特性] [J]. | Transactions of China Electrotechnical Society , 2024 , 39 (16) : 5162-5171 . |
| MLA | Wang, Y. et al. "Energy Transfer Characteristics of GIS Mechanical Vibration Based on Structural Intensity Method; [基于结构声强法的 GIS 机械振动传递特性]" . | Transactions of China Electrotechnical Society 39 . 16 (2024) : 5162-5171 . |
| APA | Wang, Y. , Guan, X. , Chen, Z. , Lin, J. , Zhao, J. . Energy Transfer Characteristics of GIS Mechanical Vibration Based on Structural Intensity Method; [基于结构声强法的 GIS 机械振动传递特性] . | Transactions of China Electrotechnical Society , 2024 , 39 (16) , 5162-5171 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
振动测量对发现气体绝缘开关设备(gas insulated switchgear，GIS)潜在性缺陷具有重要意义，但GIS本体振动信号易受基础振动、测量噪声以及环境噪声的影响，使得现场GIS振动带电检测和机械缺陷诊断的效果较差。针对此问题，提出一种基于奇异值分解(singular value decomposition, SVD)-改进自适应啁啾模态分解(improve adaptive chirp mode decomposition, IACMD)的现场振动信号降噪算法。该方法首先利用SVD对原始振动信号进行预处理，滤除低频基础振动和测量噪声，其次利用鱼鹰优化算法(osprey optimization algorithm, OOA)对处理后的信号进行自适应模态分解，得到分解后的固有模态(intrinsic mode functions，IMF)分量，再利用互相关系数筛选有效分量重构振动信号。模拟信号与现场信号测试结果表明：与OOA-自适应啁啾模态分解(adaptive chirp mode decomposition，ACMD)和SVD-变分模态分解(variational mode decomposition, VMD)相比，所提出的SVD-IACMD算法可以去除基础振动、测量噪声和环境噪声，保留GIS本体振动的基频和谐波分量，为GIS现场抗干扰振动检测和机械缺陷诊断提供技术支持。
Keyword ：
信号降噪 信号降噪 奇异值分解(SVD) 奇异值分解(SVD) 改进自适应啁啾模态分解(IACMD) 改进自适应啁啾模态分解(IACMD) 机械振动 机械振动 气体绝缘开关设备(GIS) 气体绝缘开关设备(GIS) 鱼鹰优化算法(OOA) 鱼鹰优化算法(OOA)
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 涂嘉毅 , 关向雨 , 赵俊义 et al. 基于SVD-IACMD的GIS振动信号去噪算法 [J]. | 电力工程技术 , 2024 , 43 (6) : 163-172 . |
| MLA | 涂嘉毅 et al. "基于SVD-IACMD的GIS振动信号去噪算法" . | 电力工程技术 43 . 6 (2024) : 163-172 . |
| APA | 涂嘉毅 , 关向雨 , 赵俊义 , 林建港 , 赖泽楷 . 基于SVD-IACMD的GIS振动信号去噪算法 . | 电力工程技术 , 2024 , 43 (6) , 163-172 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
