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Analysis of the characteristics of gastrointestinal motility based on Hilbert-Huang transform method 被引量:1
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作者 黄标 Yan Guozheng 《High Technology Letters》 EI CAS 2008年第1期30-34,共5页
Pressure activity data as an important index of gastrointestinal (GI) motility can be obtained from the wireless radiotelemetry capsule. The Hilbert-Huang transform (HHT) method, which is more effective to process... Pressure activity data as an important index of gastrointestinal (GI) motility can be obtained from the wireless radiotelemetry capsule. The Hilbert-Huang transform (HHT) method, which is more effective to process non-stationary signal, is proposed to identify the characteristics of GI motility. We decompose the pressure activity data into intrinsic mode functions (IMFs), calculate the Hi/bert marginal spectrum and attain the peristalsis characteristics of GI tract. The IMFs represent the peristalses modes of GI tract activity embedded in the pressure data. The time-varying characteristic of the method suggests that the HHT is suitable to accommodate other non-stationary biomedical data analysis. 展开更多
关键词 intrinsic mode function empirical mode decomposition (EMD) hilbert-huang transform (HHT) method gastrointestinal (GI) motility
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Mode Recognition of Lamb Wave Detecting Signals in Metal Plate Using the Hilbert-Huang Transform Method 被引量:3
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作者 Yu Zhang Shen Wang +1 位作者 Songling Huang Wei Zhao 《Journal of Sensor Technology》 2015年第1期7-14,共8页
The dispersion and multiple modes characteristics which exist in the propagation of Lamb waves (LW) in metal plates make it extremely hard to analyze and recognize the detection echo signals of defects. As a newly dev... The dispersion and multiple modes characteristics which exist in the propagation of Lamb waves (LW) in metal plates make it extremely hard to analyze and recognize the detection echo signals of defects. As a newly developed time-frequency analysis method in recent years, Hilbert-Huang transform (HHT) is one of the powerful tools to analyze non-stationary signals. The experimental LW detecting system for single aluminum plate is setup in this work, and the LW detecting signals are analyzed by HHT. The overlapped LW detecting signals of different modes are recognized by the means of extracting flight time of intrinsic mode functions (IMFs) after Hilbert transform (HT). The experiment results, agreeing well with the theoretical analysis, indicate that the HHT method can clearly recognize overlapped LW detecting signals of different modes in metal plates, but could hardly recognize that of the same mode. HHT can be an effective method to recognize LW detecting signals of different modes in metal plates. 展开更多
关键词 LAMB WAVES DISPERSION hilbert-huang transform Empirical MODE DECOMPOSITION
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基于Transformer多分辨率特征融合的图像压缩感知重构
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作者 熊承义 马帅 +2 位作者 高志荣 李帆 陈文旗 《中南民族大学学报(自然科学版)》 2025年第3期400-406,共7页
利用图像多分辨率特征的交叉融合,对于改善压缩感知图像的重构质量具有较好潜能.研究了一种基于Transformer多分辨率特征融合的图像压缩感知重构方法.输入图像的测量值首先经过初始重构,得到一组分辨率降维的低分辨率初始重构图像;然后... 利用图像多分辨率特征的交叉融合,对于改善压缩感知图像的重构质量具有较好潜能.研究了一种基于Transformer多分辨率特征融合的图像压缩感知重构方法.输入图像的测量值首先经过初始重构,得到一组分辨率降维的低分辨率初始重构图像;然后,采用两个通路并行提取不同分辨率图像的特征并进行交叉融合;最后,将输出的两路特征分别用于原始图像的重构及其降采样重构.采用Transformer网络执行多分辨率图像特征的交叉融合,以更好利用图像的远距离相关性.大量实验比较结果验证了所提出的方法在平衡网络复杂度和改进重构图像质量方面的有效性. 展开更多
关键词 多分辨率特征 压缩感知 交叉融合 transformer方法
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基于CNN-Transformer的自由泳划臂动作识别方法
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作者 舒小东 《通化师范学院学报》 2025年第6期40-47,共8页
为了提升自由泳划臂动作识别性能,利用卷积神经网络(Convolutional Neural Network,CNN)的特征提取能力和Transformer的序列数据处理能力,提出基于CNN-Transformer的自由泳划臂动作识别方法.基于时间能量金字塔算法,利用自由泳划臂动作... 为了提升自由泳划臂动作识别性能,利用卷积神经网络(Convolutional Neural Network,CNN)的特征提取能力和Transformer的序列数据处理能力,提出基于CNN-Transformer的自由泳划臂动作识别方法.基于时间能量金字塔算法,利用自由泳划臂动作图像的深度运动序列能量,计算每层金字塔的深度运动序列能量直方图,提取自由泳划臂动作特征.以GoogleNet模型为基础构建卷积神经网络,对自由泳划臂动作特征图实施多层卷积和池化操作.通过平均池化方法矢量化处理自由泳划臂动作特征,利用卷积核实现划臂动作特征映射.Transformer模块通过多头自注意力机制,捕捉所映射特征的长期依赖关系,明确动作细节,输出自由泳划臂动作识别结果.实验结果表明:该方法能够精准识别入水、抓水、划水等自由泳划臂动作,对于自由泳训练和比赛分析具有重要的应用价值. 展开更多
关键词 CNN transformER 自由泳 划臂动作 识别方法 特征映射
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基于近邻感知Transformer的肺孤立性小结节诊断研究
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作者 侯永泉 王璟琛 +4 位作者 刘瑞 贺燕林 韩佳悦 徐毛冶 柴军 《计算机与数字工程》 2025年第5期1427-1433,共7页
论文探讨了近邻感知Transformer对于诊断肺内孤立性小结节的价值。为了挖掘输入影像不同区域之间的内在关联,论文设计了一种近邻感知Transformer用于肺孤立性小结节的常规诊断。通过回顾性分析2013年1月至2020年5月在内蒙古自治区人民... 论文探讨了近邻感知Transformer对于诊断肺内孤立性小结节的价值。为了挖掘输入影像不同区域之间的内在关联,论文设计了一种近邻感知Transformer用于肺孤立性小结节的常规诊断。通过回顾性分析2013年1月至2020年5月在内蒙古自治区人民医院行胸部CT检查发现肺内孤立性小结节的患者资料97例,根据病理结果分为良性组及恶性组,其中良性40例,恶性57例。利用基于近邻感知Transformer的深度学习模型自动测量结节的体积、平均径、峰度、偏度、最小CT值等参数,比较各参数的诊断效能,绘制ROC曲线确定最佳临界值。实验结果为良性和恶性结节的体积、峰度、最小CT值、平均CT值、25%、50%、75%、90%位数CT值有统计学意义(p<0.05)。体积的最佳界值为1437.7 mm3,AUC为0.62;峰度(Hu)的最佳界值为-1.025,AUC为0.62;最小CT值的最佳界值为-386 Hu,AUC为0.746;平均CT值的最佳界值为-115 Hu,AUC为0.743;25%、50%、75%、90%位数CT值的最佳界值、AUC分别为(-355.5 Hu、0.784,-129.5 Hu、0.756,-3 Hu、0.754,54.5Hu、0.696)。大量实验结果表明近邻感知Transformer方法对肺孤立性小结节良恶性的预判有一定的价值。 展开更多
关键词 transformER 深度学习 体积密度法 孤立性肺小结节
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基于分解技术的IZOA-Transformer-BiGRU短期风电功率预测 被引量:3
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作者 蒲晓云 杨靖 +1 位作者 杨兴 宁媛 《电子测量技术》 北大核心 2025年第2期39-48,共10页
准确的风电功率预测对于保障电网平稳运行和提升风资源利用效率具有重要意义。针对风电功率数据的非平稳性和间歇性等特征,本文提出了一种结合数据分解技术的IZOA-Transformer-BiGRU组合预测模型,以提升短期风电功率预测的精度和可靠性... 准确的风电功率预测对于保障电网平稳运行和提升风资源利用效率具有重要意义。针对风电功率数据的非平稳性和间歇性等特征,本文提出了一种结合数据分解技术的IZOA-Transformer-BiGRU组合预测模型,以提升短期风电功率预测的精度和可靠性。首先,采用能量差值法确定变分模态分解(VMD)的子模态数,将具有较强随机波动性的原始风电功率分解为一系列相对平稳的子序列,从而更加充分地提取时序特征。其次,构建Transformer-BiGRU模型,引入多头注意力机制并行处理多个特征之间的交互关系,并利用BiGRU捕捉时序序列间的前后依赖性,从而提升预测性能。为了进一步优化模型性能,采用融合Singer混沌映射、透镜折射反向学习和单纯形法策略的改进斑马优化算法(IZOA),对Transformer-BiGRU模型的隐藏层神经元数、初始学习率、正则化系数和多头注意力头数四个关键超参数进行优化。最后,通过IZOA-Transformer-BiGRU对分解后的各子序列进行预测,经过叠加重构得到最终的预测结果。实验结果表明,与单一BiGRU模型相比,所提模型的决定系数提升了5.10%,平均绝对误差、均方根误差以及平均绝对百分比误差分别降低了56.17%、54.58%、54.55%,具有较高的预测精度。 展开更多
关键词 风电功率预测 变分模态分解 transformER 双向门控循环单元 能量差值法 斑马优化算法
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Application of Elzaki Transform Method to Market Volatility Using the Black-Scholes Model
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作者 Henrietta Ify Ojarikre Ideh Rapheal Ebimene James Mamadu 《Journal of Applied Mathematics and Physics》 2024年第3期819-828,共10页
Black-Scholes Model (B-SM) simulates the dynamics of financial market and contains instruments such as options and puts which are major indices requiring solution. B-SM is known to estimate the correct prices of Europ... Black-Scholes Model (B-SM) simulates the dynamics of financial market and contains instruments such as options and puts which are major indices requiring solution. B-SM is known to estimate the correct prices of European Stock options and establish the theoretical foundation for Option pricing. Therefore, this paper evaluates the Black-Schole model in simulating the European call in a cash flow in the dependent drift and focuses on obtaining analytic and then approximate solution for the model. The work also examines Fokker Planck Equation (FPE) and extracts the link between FPE and B-SM for non equilibrium systems. The B-SM is then solved via the Elzaki transform method (ETM). The computational procedures were obtained using MAPLE 18 with the solution provided in the form of convergent series. 展开更多
关键词 Elzaki transform method European Call Black-Scholes Model Fokker-Planck Equation Market Volatility
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A Comprehensive Study of Soliton Pulse Propagation Using Modified Differential Transform Methods
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作者 Entsar El-Shazly Ahmed Abo-Elenin Ibrahim El-Kalla 《Journal of Applied Mathematics and Physics》 2024年第12期4183-4197,共15页
In this article, a modified version of the Differential Transform Method (DTM) is employed to examine soliton pulse propagation in a weakly non-local parabolic law medium and wave propagation in optical fibers. This s... In this article, a modified version of the Differential Transform Method (DTM) is employed to examine soliton pulse propagation in a weakly non-local parabolic law medium and wave propagation in optical fibers. This semi-analytic method has the advantage of overcoming the obstacle of the hardest nonlinear terms and is used to explain the origin of the bright and dark soliton solutions through the Schrödinger equation in its non-local form and the Radhakrishnan-Kundu-Laksmannan (RKL) equation. Numerical examples demonstrate the effectiveness of this method. 展开更多
关键词 Soliton Pulse Parabolic Law Medium Differential transform method Bright Solution Dark Solution Schrödinger Equation Radhakrishnan-Kundu-Laksmannan
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Lite-IJformer:面向长序列Transformer的轻量化方法
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作者 连家诚 郝一帆 +2 位作者 张曦珊 支天 孙广中 《高技术通讯》 北大核心 2025年第2期167-174,共8页
针对面向长序列的Transformer计算复杂度高的问题,本文提出了一种Trans-former轻量化方法Lite-IJformer。其核心思路分为2步:(1)对自注意力(self-attention)进行线性化,将Transformer的计算复杂度从输入序列的平方降至线性;(2)基于低秩... 针对面向长序列的Transformer计算复杂度高的问题,本文提出了一种Trans-former轻量化方法Lite-IJformer。其核心思路分为2步:(1)对自注意力(self-attention)进行线性化,将Transformer的计算复杂度从输入序列的平方降至线性;(2)基于低秩矩阵分解理论对KV矩阵乘法进行降维,进一步减少计算规模。在长序列竞技基准测试上的实验表明,当输入长度为1000~2000时,线性化可以将self-attention计算量降低13~26倍,将Transformer的推理速度提升4.75~5.72倍而无精度损失;在经过降维后,self-attention的计算量进一步减少了17.0%,模型推理速度提升了1.17倍,精度损失在0.5%以内。 展开更多
关键词 transformER 自注意力 线性化方法 降维
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A Study on the Evaluation of High-Quality Development of Enterprises in the Context of Digital Transformation:A Case Study of Hualing Steel
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作者 Weiman Zheng Haojie Liao +1 位作者 Bifang Huang kangqiao Xu 《Journal of Frontier in Economic and Management Research》 2025年第1期363-386,共24页
In the context of the digital economy,digital transformation of enterprises has become a current hot topic.This study focuses on Hualing Steel to explore how enterprises can achieve high-quality development through di... In the context of the digital economy,digital transformation of enterprises has become a current hot topic.This study focuses on Hualing Steel to explore how enterprises can achieve high-quality development through digital transformation.The paper employs indicators of efficiency,innovation,and green development,utilizing the entropy and TOPSIS methods to quantitatively assess transformation performance from 2013 to 2023.The analysis yields three key conclusions:(1)Digital transformation has yielded significant outcomes,with the highest comprehensive performance observed in 2021,coinciding with the launch of the 5G smart factory;(2)A structural characteristic of"efficiency improvement leading,with innovation-driven development lagging"is identified;(3)Recommendations are made for deepening the application of digital technologies,optimizing enterprise operation management systems,enhancing innovation-driven development,and improving talent development systems.These findings provide a theoretical framework and practical model for the transformation and upgrading of traditional manufacturing industries. 展开更多
关键词 Hualing Steel high-quality development digital transformation entropy value method Topsis method
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基于序贯三支掩码和注意力融合的Transformer解释方法
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作者 成晓天 丁卫平 +3 位作者 耿宇 黄嘉爽 鞠恒荣 郭静 《计算机研究与发展》 北大核心 2025年第11期2737-2751,共15页
Transformer逐渐成为计算机视觉任务的首选方案,这推动了其可解释性方法的发展.传统解释方法大多采用Transformer编码器的最终层生成的扰动掩码生成可解释图,而忽略了掩码的不确定信息和上下采样中的信息丢失,从而造成物体区域的定位粗... Transformer逐渐成为计算机视觉任务的首选方案,这推动了其可解释性方法的发展.传统解释方法大多采用Transformer编码器的最终层生成的扰动掩码生成可解释图,而忽略了掩码的不确定信息和上下采样中的信息丢失,从而造成物体区域的定位粗糙且不完整.为克服上述问题,提出基于序贯三支掩码和注意力融合的Transformer解释方法(SAF-Explainer),SAF-Explainer主要包含序贯三支掩码(sequential three-way mask,S3WM)模块和注意力融合(attention fusion,AF)模块.S3WM通过应用严格的阈值条件处理掩码,避免掩码中的不确定信息对解释结果产生损害,以此有效定位到物体位置.随后,AF利用注意力矩阵聚合生成跨层信息交互的关系矩阵,用来优化解释结果中的细节信息,生成边缘清晰且完整的解释结果.为验证所提出SAF-Explainer的有效性,在3个自然图像与1个医学图像数据集上进行比较实验,结果表明SAF-Explainer具有更好的可解释性效果. 展开更多
关键词 可解释性方法 transformER 自注意力机制 序贯三支决策 注意力融合 扰动掩码
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Analysis of a Laplace Spectral Method for Time-Fractional Advection-Diffusion Equations Incorporating the Atangana-Baleanu Derivative
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作者 Kamran Farman Ali Shah +3 位作者 Kallekh Afef J.F.Gómez-Aguilar Salma Aljawi Ioan-Lucian Popa 《Computer Modeling in Engineering & Sciences》 2025年第6期3433-3462,共30页
In this article,we develop the Laplace transform(LT)based Chebyshev spectral collocation method(CSCM)to approximate the time fractional advection-diffusion equation,incorporating the Atangana-Baleanu Caputo(ABC)deriva... In this article,we develop the Laplace transform(LT)based Chebyshev spectral collocation method(CSCM)to approximate the time fractional advection-diffusion equation,incorporating the Atangana-Baleanu Caputo(ABC)derivative.The advection-diffusion equation,which governs the transport of mass,heat,or energy through combined advection and diffusion processes,is central to modeling physical systems with nonlocal behavior.Our numerical scheme employs the LT to transform the time-dependent time-fractional PDEs into a time-independent PDE in LT domain,eliminating the need for classical time-stepping methods that often suffer from stability constraints.For spatial discretization,we employ the CSCM,where the solution is approximated using Lagrange interpolation polynomial based on the Chebyshev collocation nodes,achieving exponential convergence that outperforms the algebraic convergence rates of finite difference and finite element methods.Finally,the solution is reverted to the time domain using contour integration technique.We also establish the existence and uniqueness of the solution for the proposed problem.The performance,efficiency,and accuracy of the proposed method are validated through various fractional advection-diffusion problems.The computed results demonstrate that the proposed method has less computational cost and is highly accurate. 展开更多
关键词 Laplace transform spectral method existence theory fractional derivative with non-singular kernel contour integration methods
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Phase-field modeling of effect of Ni on formation and phase transformation of Cu-rich phase in Fe-Cu-Ni alloys
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作者 Ming-Guang Wei Zhong-Wen Zhang +2 位作者 Min Cui Yuan-Bin Zhang Tong-Guang Zhai 《Chinese Physics B》 2025年第8期735-741,共7页
A phase-field model integrated with the thermodynamic databases was constructed to investigate the impact of Ni content on the precipitation kinetics and phase transformation of the Cu-rich phase in Fe-Cu-Ni alloy at ... A phase-field model integrated with the thermodynamic databases was constructed to investigate the impact of Ni content on the precipitation kinetics and phase transformation of the Cu-rich phase in Fe-Cu-Ni alloy at 773 K.The results demonstrated that the Cu core-Ni shell structures form via the decomposition of Cu-Ni co-clusters,which is consistent with previous experimental results.As the Ni content increases,both the volume fraction and number density of Cu-rich precipitates increase,while their size decreases.With the increase in Ni content,the transformation from a Cu to 9R Cu is accelerated,which is the opposite to the result of increasing Mn content.Magnetic energy can increase the nucleation rate of the Cu-rich phase,but it does not affect the phase transformation driving force required for its crystal structure transformation. 展开更多
关键词 phase-field method Cu-rich phase phase transformation magnetic energy
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Application of Gauss-Newton method in magnetic dipole model
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作者 Junchen Gao Chaobo Liu +3 位作者 Jinjing Zhang Yu Duan Hao-Ran Yang Daqiang Gao 《Chinese Physics B》 2025年第10期377-383,共7页
With the increasing accuracy requirements of satellite magnetic detection missions,reducing low-frequency noise has become a key focus of satellite magnetic cleanliness technology.Traditional satellite magnetic simula... With the increasing accuracy requirements of satellite magnetic detection missions,reducing low-frequency noise has become a key focus of satellite magnetic cleanliness technology.Traditional satellite magnetic simulation methods have matured in static magnetic dipole simulations,but there is still significant room for optimization in the simulation and computation of low-frequency magnetic dipole models.This study employs the Gauss-Newton method and Fourier transform techniques for modeling and simulating low-frequency magnetic dipoles.Compared to the traditional particle swarm optimization(PSO)algorithm,this method achieves significant improvements,with errors reaching the order of10^(-13)%under noise-free conditions and maintaining an error level of less than 0.5%under 10%noise.Additionally,the use of Fourier transform and the Gauss-Newton method enables high-precision magnetic field frequency identification and rapid computation of the dipole position and magnetic moment,greatly enhancing the computational efficiency and accuracy of the model. 展开更多
关键词 magnetic dipole model Gauss-Newton method Fourier transform inversion accuracy
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Fast Parallel Magnetic Resonance Imaging Reconstruction Based on Sparsifying Transform Learning and Structured Low-Rank Model
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作者 DUAN Jizhong XU Yuhan HUANG Huan 《Journal of Shanghai Jiaotong university(Science)》 2025年第3期499-509,共11页
The structured low-rank model for parallel magnetic resonance(MR)imaging can efficiently reconstruct MR images with limited auto-calibration signals.To improve the reconstruction quality of MR images,we integrate the ... The structured low-rank model for parallel magnetic resonance(MR)imaging can efficiently reconstruct MR images with limited auto-calibration signals.To improve the reconstruction quality of MR images,we integrate the joint sparsity and sparsifying transform learning(JTL)into the simultaneous auto-calibrating and k-space estimation(SAKE)structured low-rank model,named JTLSAKE.The alternate direction method of multipliers is exploited to solve the resulting optimization problem,and the optimized gradient method is used to improve the convergence speed.In addition,a graphics processing unit is used to accelerate the proposed algorithm.The experimental results on four in vivo human datasets demonstrate that the reconstruction quality of the proposed algorithm is comparable to that of JTL-based low-rank modeling of local k-space neighborhoods with parallel imaging(JTL-PLORAKS),and the proposed algorithm is 46 times faster than the JTL-PLORAKS,requiring only 4 s to reconstruct a 200×200 pixels MR image with 8 channels. 展开更多
关键词 structured low-rank parallel magnetic resonance imaging sparsifying transform learning alternating direction method of multipliers optimized gradient method
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Measurement device and method for mass and centroid of large aircraft
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作者 ZHANG Xiaolin ZHANG Yuyang +2 位作者 YANG Lifeng ZHAO Hongzhi WANG Meibao 《Journal of Measurement Science and Instrumentation》 2025年第3期341-349,共9页
The precise acquisition of the quality characteristic parameters of large aircraft directly affects its performance characteristics.For large aircrafts such as missiles and rockets with internal fillings,traditional m... The precise acquisition of the quality characteristic parameters of large aircraft directly affects its performance characteristics.For large aircrafts such as missiles and rockets with internal fillings,traditional measurement methods involving large-angle tilting or rotation may pose safety risks.In light of the characteristics of large aircraft and in combination with existing measurement methods,we design a mass and centroid measurement method based on four-point support and small-angle tilting,and develop a set of mass and centroid testing system.This method obtains the intersection point of the gravity action line in the product coordinate system through coordinate transformation in two postures,thereby obtaining the three-dimensional centroid of the aircraft.We first elaborate on the principle of this method in detail,then introduce the composition of the equipment,and analyze the structural stress of key components.Finally,experimental verification and uncertainty analysis are carried out.Experimental verification shows that the maximum deviation of the mass measurement accuracy is less than 0.02%,the centroid measurement accuracy in the X direction is±0.15 mm,in the Y direction it is±0.21 mm,and in the Z direction it is±0.19 mm. 展开更多
关键词 large aircraft centroid measurement coordinate transformation multi-point weighing method gravity line
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External stress induced pseudo-spinodal transformation pathway with reduced lamellar size in γ-TiAl alloys
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作者 Jian-Wei Li Tian-Jiao Dong +4 位作者 Chuan-Xin Liang He-Ran Wang Li-Qiang He Tian-Long Zhang Dong Wang 《Rare Metals》 2025年第5期3460-3478,共19页
Reducing the size of the lamellar structures and increasing the number of twin structures are both effective strategies for enhancing the ductility and fracture toughness ofγ-TiAl alloys.Hot isostatic pressing combin... Reducing the size of the lamellar structures and increasing the number of twin structures are both effective strategies for enhancing the ductility and fracture toughness ofγ-TiAl alloys.Hot isostatic pressing combined with heat treatment is an promising method to optimize the microstructure of TiAl alloys and improve their mechanical properties.However,systematic investigations into the microstructural evolution under high temperature pressure/external stress are limited.In this study,by integrating phase field simulations and CALPHAD thermodynamic database,a unique microstructural response to external stress during aging process is revealed.With the increase of external stress,the size of the lamellar structure initially decreases but then increases,while the number of twin structures initially rises but then decreases,showing nonlinear relationships.An increase in external stress shifts the free energy curves,altering the position of c0(the intersection position between free energies ofα_(2)andγ),which leads to a change in the nucleation mechanism from classical nucleation to pseudo-spinodal decomposition and influences the final microstructure ofγprecipitates.Further simulations indicate a linear correlation between optimal external stress and varying Al content.A deeper analysis indicates that the observed variations in the size and twin structures can be attributed to the interplay among the growth rate of existing variants,the competitive nucleation rates of twinned variants and the redistribution of composition under different external stresses.Our findings provide new insights into optimizing microstructures by pressure/external stress in precipitation processes. 展开更多
关键词 Phase field method γ-TiAl alloys Phase transformation Pseudo-spinodal decomposition Autocatalytic effect
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Partial Discharge Localisation in Power Transformer by UHF Technique
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作者 Mohammad Amin Jangjoo Mehdi Allahbakhshi +1 位作者 Hassan Reza Mirzaei Ali Abooee 《High Voltage》 2025年第5期1314-1323,共10页
This article deals with the methods of finding partial discharge(PD)location in power transformers using ultra high frequency(UHF)measurements.The UHF technique utilises two methods to find the PD location,that is,the... This article deals with the methods of finding partial discharge(PD)location in power transformers using ultra high frequency(UHF)measurements.The UHF technique utilises two methods to find the PD location,that is,the shortest path method and hyperbolic method.The shortest path method works based on the comparison of the measured data and the ones in the database.In the hyperbolic method,a hyperbolic equation is obtained between each two element subset of sensors.The coordinate that best fits all equations is known as the PD location,and can be obtained in three different ways,that is,iterative algorithms,the Fang method and Chan method.The convergence of iterative algorithms is limited by poor initial estimate,overshoot,mitigation of non-convergence etc.The Fang and Chan methods are two closed-form solutions that are used in the communication system to find the radiation source location.This article explains how to use these two methods to obtain the PD coordinate inside the power transformer.These two methods can find exactly the coordinate that best fits all hyperbolic equations.At the end of this article,several tests are carried out through CST software and the PD locations is estimated by all presented methods.The simulation results show how the Fang and Chan methods can overcome the limitations of the iterative method. 展开更多
关键词 uhf technique ultra high frequency hyperbolic methodthe hyperbolic methoda power transformers measured data hyperbolic equation shortest path method
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Fast Calculation of Transformer Hot Spot Temperature Based on Winding Equivalent Thermal Parameters
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作者 Si Chen Gehao Sheng +2 位作者 Yingting Luo Junfei Jiang Xiuchen Jiang 《High Voltage》 2025年第5期1257-1271,共15页
The hot spot temperature of a transformer is one of the critical indicators reflecting its operating status.Accurate and fast calculation of hot spot temperature is significant for the online monitoring of transformer... The hot spot temperature of a transformer is one of the critical indicators reflecting its operating status.Accurate and fast calculation of hot spot temperature is significant for the online monitoring of transformers.Considering the low computational efficiency of the transformer’s numerical full model(FM),this paper presents a model simplification method based on the equivalent thermal parameters of windings to expedite hot spot temperature computation.Initially,the representative volume element(RVE)reflecting the periodic structure of windings is selected to formulate a reduced model(RM)for the transformer.Subsequently,to achieve equivalence between the RM and the FM,the equivalent thermal parameters of the RVE are calculated,containing the equivalent thermal conductivity(ETC),the equivalent density(ED),and the equivalent specific heat capacity(ESHC).Finally,the validity of the RM is verified by the temperature rise test.The results show that,compared with the tested data,the maximum error of the hot spot temperature calculated by the RM is 2.56 K,demonstrating the accuracy of the hot spot temperature calculation by the RM.Compared with the FM,the computing time of the proposed RM is reduced to 1/189,which significantly improves the computational efficiency. 展开更多
关键词 online monitoring transformersconsidering model simplification method calculation hot spot temperature transformER equivalent thermal parameters representative volume numerical full model fm hot spot temperature
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基于Transformer神经网络的钻井工况识别方法
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作者 魏刚 肖林 +3 位作者 李爽 李明明 高耸 高小永 《石油钻探技术》 北大核心 2025年第4期33-41,共9页
为解决传统钻井工况识别方法依赖专家经验与阈值判断、忽视时序依赖且类别和精度受限的问题,提出了一种基于Transformer神经网络的钻井工况高效识别方法。该方法利用多头自注意力机制和残差连接提取时序数据的长时序列依赖特征,并在编... 为解决传统钻井工况识别方法依赖专家经验与阈值判断、忽视时序依赖且类别和精度受限的问题,提出了一种基于Transformer神经网络的钻井工况高效识别方法。该方法利用多头自注意力机制和残差连接提取时序数据的长时序列依赖特征,并在编码器输出端接入前馈全连接分类器进行工况分类;训练采用交叉熵损失和Adam优化器,以得到最优模型参数。利用海上钻井历史数据集对比了CNN,LSTM,CNN−LSTM和Transformer等4种模型的性能,结果表明:所有模型损失曲线均能收敛,但CNN模型和CNN−LSTM模型在100次迭代内收敛缓慢且波动较大,而Transformer模型可迅速稳定收敛;加入衍生特征参数后进一步提升了模型的识别精度与泛化能力。研究结果验证了识别方法在长时序多类别特征捕获方面的优势,为钻井作业工况的高效精准识别提供了创新解决方案,对提升钻井监督智能化水平具有重要工程价值。 展开更多
关键词 钻井工况 识别方法 特征提取 时间依赖性 transformer模型
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