Applications in engineering science最新文献_第2页

Hybrid electromagnetic–piezoelectric vibration energy harvester for harsh temperature environments 用于恶劣温度环境的电磁-压电混合振动能量采集器

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2026-03-01 Epub Date: 2026-02-12 DOI: 10.1016/j.apples.2026.100305

Muhammad Zafar Ijaz , Farid Ullah Khan

This study presents a hybrid vibration energy harvester developed for operation in harsh temperature environments. The device features a single-degree-of-freedom bimorph cantilever beam that incorporates electromagnetic and piezoelectric transduction mechanisms. The harvester performance was experimentally tested under low-frequency sinusoidal vibrations (6–11 Hz) and low acceleration amplitudes (0.04–0.06 g). At a room temperature of 25 °C and a constant acceleration of 0.06 g, the electromagnetic transducer generated a peak output voltage of 0.641 V and a power of 4.11 mW across an optimal load of 100 Ω, whereas the piezoelectric transducer reached a maximum voltage of 5.94 V, with a corresponding power of 1.01 mW across an optimal resistance of 35 kΩ. Temperature-dependent tests were performed over the range of -10 °C to 80 °C at a constant acceleration of 0.04 g. The results showed that both the output power and resonance frequency decreased with increasing temperature, whereas sub-room temperatures caused moderate power reduction and increased resonance frequency. The electromagnetic transducer produced a peak power of 1.82 mW, whereas the piezoelectric transducer produced 0.44 mW at 25 °C. When the temperature increased to 80 °C, the power of the electromagnetic transducer decreased by 50 %, whereas that of the piezoelectric transducer decreased by 60 %. When the temperature was lowered from 25 to −10 °C, the maximum power of the electromagnetic transducer decreased by 11 %, and 14 % for the piezoelectric transducer, respectively. This study demonstrates the feasibility of using this hybrid system as a self-powered source for wireless sensors at extreme temperatures.

本研究提出了一种用于在恶劣温度环境下工作的混合振动能量采集器。该装置具有单自由度双晶片悬臂梁，结合了电磁和压电转导机制。在低频正弦振动（6-11 Hz）和低加速度幅值（0.04-0.06 g）下测试了收割机的性能。在室温为25°C、恒定加速度为0.06 g的条件下，电磁换能器在最佳负载为100 Ω时的峰值输出电压为0.641 V，功率为4.11 mW，而压电换能器在最佳电阻为35 kΩ时的最大输出电压为5.94 V，相应的功率为1.01 mW。温度相关测试在-10°C至80°C的范围内进行，恒定加速度为0.04 g。结果表明，随着温度的升高，输出功率和谐振频率均下降，而亚室温对输出功率和谐振频率的影响较小。电磁换能器产生的峰值功率为1.82 mW，而压电换能器在25°C时产生的峰值功率为0.44 mW。当温度升高到80℃时，电磁换能器的功率下降50%，而压电换能器的功率下降60%。当温度从25℃降至- 10℃时，电磁换能器的最大功率下降11%，压电换能器的最大功率下降14%。这项研究证明了在极端温度下使用这种混合系统作为无线传感器自供电源的可行性。

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引用次数: 0

Topology optimization of cantilever beams with non-cellular, cellular, and hybrid structures for enhanced mechanical performance 悬臂梁的拓扑优化与非细胞，细胞和混合结构，以提高机械性能

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2026-03-01 Epub Date: 2025-12-03 DOI: 10.1016/j.apples.2025.100279

G. Nikaein, M. Haji Mohammadvali, M.H. Sadeghi

Lattice structures are widely utilized in engineering applications due to their numerous advantages, particularly their exceptional design flexibility. Topology optimization serves as a powerful tool to exploit this flexibility by enabling the design of structures optimized for efficient performance and reduced weight. In this study, topology optimization is employed to optimize the geometry of a cantilever beam in non-cellular, cellular, and a novel hybrid configuration, aiming to minimize compliance while satisfying a material volume fraction constraint. An algorithm based on the SIMP method and the optimality criterion approach was employed to optimize cantilever beams with a prescribed volume fraction of 40%. A uniform lattice beam was included in the study to provide a baseline for assessing the effectiveness of the optimized designs. To evaluate the performance of the topology-optimized beams, bending simulations were conducted using Abaqus software. The results showed that, compared to the uniform lattice beam, the application of topology optimization led to stress reductions of 83.33%, 60.63%, and 84.03% in the non-cellular, cellular, and hybrid beams, respectively. Deflection was similarly reduced by 86.83%, 65.57%, and 83.53% across these beams. The findings of the study underscore the significant potential of the optimization method to improve the mechanical performance of lattice structures.

点阵结构以其独特的设计灵活性，在工程应用中得到了广泛的应用。拓扑优化作为一种强大的工具，可以通过优化结构设计来实现这种灵活性，从而实现高效性能和减轻重量。在本研究中，采用拓扑优化来优化非单元、单元和新型混合结构的悬臂梁的几何形状，旨在最小化顺应性，同时满足材料体积分数的约束。采用基于SIMP法和最优准则法的优化算法，对体积分数为40%的悬臂梁进行了优化。研究中包括一个均匀的晶格梁，为评估优化设计的有效性提供基线。为了评估拓扑优化梁的性能，利用Abaqus软件进行了弯曲仿真。结果表明，与均匀点阵梁相比，采用拓扑优化的非元胞、元胞和混合梁的应力分别降低了83.33%、60.63%和84.03%。这些梁的挠度同样减少了86.83%，65.57%和83.53%。研究结果强调了优化方法在改善晶格结构力学性能方面的巨大潜力。

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引用次数: 0

Development and validation of finite element model of milling thin-walled part 铣削薄壁件有限元模型的建立与验证

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2026-03-01 Epub Date: 2025-12-15 DOI: 10.1016/j.apples.2025.100285

Nguyen Thi Anh , Tran Thanh Tung

Thin-walled components are widely used in aerospace and automotive applications due to their high stiffness-to-weight ratio but are highly susceptible to deformation during milling, resulting in dimensional errors and reduced surface quality. In this study, a three-dimensional finite element model (FEM) was developed and experimentally validated to investigate the force–deflection behavior of a thin-walled aluminum workpiece with dimensions 130 × 2.5 × 60 mm. The experimental tests were conducted on a HAAS VF-2 CNC machining center using a 12 mm, 4-flute end mill, while the FEM was constructed with refined meshing and boundary conditions replicating the clamping and cutting parameters. Cutting force predictions in the X, Y, and Z directions showed good agreement with experimental measurements, with minor discrepancies attributed to fixture compliance and tool–workpiece contact assumptions. Displacement fields and time-history responses revealed progressive wall deflection, with maximum values of approximately 0.06 mm occurring at the free edge, consistent with experimental observations. The validated model demonstrates that FEM can effectively capture both force and deflection trends in thin-wall milling, providing a reliable framework for process planning, parameter optimization, and machining error control in precision manufacturing.

薄壁部件由于其高刚度重量比而广泛应用于航空航天和汽车应用，但在铣削过程中极易变形，导致尺寸误差和表面质量降低。针对尺寸为130 × 2.5 × 60 mm的薄壁铝件，建立了三维有限元模型并进行了实验验证。在HAAS VF-2数控加工中心上，利用一架12 mm 4槽立铣刀进行了实验测试，并建立了模拟夹紧和切削参数的精细化网格和边界条件的有限元模型。在X、Y和Z方向上的切削力预测与实验测量结果显示出良好的一致性，由于夹具顺应性和工具-工件接触假设，存在较小的差异。位移场和时程响应显示出渐进式壁面挠度，在自由边缘处出现的最大值约为0.06 mm，与实验观察结果一致。验证模型表明，有限元法可以有效地捕捉薄壁铣削过程中的力和挠度变化趋势，为精密制造中的工艺规划、参数优化和加工误差控制提供了可靠的框架。

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引用次数: 0

Endovascular repair of aortic dissection with a bioresorbable patch: Computational and experimental study 生物可吸收贴片血管内修复主动脉夹层：计算与实验研究

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2026-03-01 Epub Date: 2025-12-03 DOI: 10.1016/j.apples.2025.100277

Marta I. Bracco , Francesc Canalejo-Codina , Agustina Giuliodori , Andrea Montanino , Alejandro Aranda , Jordi Martorell , Eduardo Soudah

This study introduces an experimentally-calibrated finite-element framework to predict the endovascular sealing performance of a bioresorbable patch for aortic dissection repair. The patch–aortic wall interaction was modeled using an adhesion-enabled contact formulation, with parameters derived from a custom dye-penetration test to replicate in-vivo tissue adhesion. A parametric analysis assessed the impact of tear size (10–20 mm), tear morphology (round vs. circumferential ellipse), and deployment angle (5

°

–20

°

) on patch sealing efficiency, wall compliance, and local stress distribution under physiological loading. Tear geometry was identified as the dominant determinant of sealing: large round tears reduced effective apposition, while circumferential elliptical tears promoted full wall coupling at lower deployment forces. Increasing deployment angle raised insertion forces and impaired circumferential contact. Importantly, pulsatile hemodynamic loading demonstrated that the patch preserved native wall compliance without inducing adverse stress concentrations. By integrating experimental calibration with computational modeling, this framework offers a quantitative tool to evaluate anatomical and procedural factors influencing endovascular sealing. These insights may support the design optimization and clinical translation of resorbable patch-based strategies for aortic dissection repair.

本研究引入了一个实验校准的有限元框架来预测用于主动脉夹层修复的生物可吸收贴片的血管内密封性能。膜片-主动脉壁相互作用的模型采用了一种能够粘附的接触配方，其参数来源于一种定制的染料渗透测试，以复制体内组织粘附。参数分析评估了撕裂尺寸（10-20 mm）、撕裂形态（圆形或圆周椭圆形）和展开角度（5°-20°）对补片密封效率、壁面柔顺性和生理载荷下局部应力分布的影响。撕裂几何形状被认为是密封的主要决定因素：大的圆形撕裂降低了有效的对抗，而圆周椭圆形撕裂在较低的展开力下促进了全壁耦合。增大展开角会增加插入力，破坏周向接触。重要的是，脉动血流动力学加载表明，贴片保留了原生壁面的顺应性，而不会引起不利的应力集中。通过将实验校准与计算建模相结合，该框架为评估影响血管内密封的解剖学和程序性因素提供了定量工具。这些见解可能支持基于可吸收贴片的主动脉夹层修复策略的设计优化和临床转化。

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引用次数: 0

Further remarks on isotropic extension of anisotropic constitutive functions via structural tensors 再论各向异性本构函数经结构张量的各向同性扩展

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2026-03-01 Epub Date: 2026-01-17 DOI: 10.1016/j.apples.2026.100295

Chi-Sing Man , Joe D. Goddard

For the original method of isotropic extension of anisotropic constitutive function via structural tensors to work, a necessary condition is that the symmetry group

G

of the anisotropic solid can be characterized as the intersection of stabilizers of specific tensors (called structural tensors) under the action of O(3) on the tensor spaces in question. Here we strengthen the method by replacing “structural tensor” in the characterization of

G

with “set of structural tensors”, thereby broadening the range of subgroups of O(3) covered when the structural tensors are restricted to be of order not higher than two. Mathematical theorems are proved to support our strengthened method of isotropic extension via structural tensors, and a procedure is formalized for using the method to find a representation formula for the anisotropic constitutive function when the structural tensors involved are restricted to be of order not higher than two. As illustration, we consider the constitutive function in anisotropic nonlinear Cauchy elasticity and examine the cases where the anisotropic symmetry group does not satisfy the characterization required by the original method.

各向异性本构函数经结构张量进行各向同性扩展的原始方法，其必要条件是各向异性实体的对称群G可以表征为特定张量（称为结构张量）在O(3)作用下的稳定器的交集。本文通过将G的表征中的“结构张量”替换为“结构张量集”来加强该方法，从而扩大了当结构张量被限制为不高于2阶时所覆盖的O(3)子群的范围。证明了一些数学定理支持我们的结构张量各向同性扩展的强化方法，并形式化了用该方法求各向异性本构函数在结构张量限制为不高于2阶时的表示公式。作为说明，我们考虑了各向异性非线性柯西弹性中的本构函数，并考察了各向异性对称群不满足原方法所要求的表征的情况。

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引用次数: 0

A comprehensive investigation of squeeze film lubrication in porous elliptical plates: Analyzin the influences of magneto-hydrodynamics, couple stress and slip velocity 多孔椭圆板挤压膜润滑的综合研究：磁流体力学、耦合应力和滑移速度的影响分析

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2026-03-01 Epub Date: 2025-12-30 DOI: 10.1016/j.apples.2025.100291

Brinda Halambi , B.N. Hanumagowda , Ali B.M. Ali , C.P. Gowthami , T. Saikiran , D.V. Jayamadhavachari , Jagadish V. Tawade , Rakhmonjon Akhmadjonov , M. Ijaz Khan

This comprehensive study investigates the combined effects of the interplay between an externally applied transverse magnetic field and the coupled flows in the squeeze film between porous elliptical plates, including the influence of slip velocity. The model employs the Stokes couple stress fluid theory to represent the effects of lubricant additives, and applies Cowling's theory to the electrically conductive fluid in the presence of a transverse magnetic field. Darcy's law is employed to model the flow through the porous media. The modified Reynolds equations incorporate these key effects, and detailed expressions for various squeeze film characteristics are derived. The novelty of the present work lies in the simultaneous inclusion of magneto-hydrodynamic, couple stress, and slip velocity effects in a porous elliptical geometry, an integration rarely addressed in previous studies. The results indicate that non-porous plates exhibit higher pressure generation compared to porous ones, and the squeeze film performance declines with increasing porosity. The results indicate that non-porous plates exhibit higher pressure generation compared to porous ones, and the squeeze film performance declines with increasing porosity. Conversely, the Lorentz force and couple stress, are found to enhance the lubrication performance compared to classical cases without these factors. These effects are more marked for smaller values of permeability

ψ

and slip velocity

s

. These valuable insights offer important guidance for the design of squeeze film lubrication systems utilizing porous elliptical plates subjected to transverse magnetic fields.

本文研究了外外加横向磁场与多孔椭圆板间挤压膜内耦合流动的相互作用的综合效应，包括滑移速度的影响。该模型采用Stokes耦合应力流体理论来表示润滑油添加剂的影响，并将Cowling理论应用于存在横向磁场的导电流体。用达西定律来模拟多孔介质的流动。修正后的雷诺方程包含了这些关键效应，并导出了各种挤压膜特性的详细表达式。本研究的新颖之处在于在多孔椭圆几何中同时包含磁流体动力学、耦合应力和滑移速度效应，这在以前的研究中很少涉及。结果表明：非多孔板比多孔板产生更高的压力，挤压膜性能随孔隙率的增加而下降；结果表明：非多孔板比多孔板产生更高的压力，挤压膜性能随孔隙率的增加而下降；相反，与没有这些因素的经典情况相比，发现洛伦兹力和耦合应力提高了润滑性能。当磁导率ψ和滑移速度s值较小时，这些效应更为明显。这些有价值的见解为设计受横向磁场作用的多孔椭圆板挤压膜润滑系统提供了重要的指导。

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引用次数: 0

Predicting creep failure time of thick-walled spherical vessels considering large strains 考虑大应变的厚壁球形容器蠕变破坏时间预测

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2026-03-01 Epub Date: 2025-10-09 DOI: 10.1016/j.apples.2025.100267

Vinod K. Arya

In this paper, the problem of predicting creep-failure time of thick-walled spherical vessels is investigated. Thick-walled spherical vessels are important structural components that are used in many industries such as oil, chemical, nuclear, and others. These industries are required to operate under complex thermal and mechanical loadings where creep deformation is prevalent. The fact that continuing deformation under creep may reach a value where the assumption of small strains becomes increasingly invalid has been incorporated by using a finite-strain formulation in the mathematical framework developed to perform the creep-failure prediction times of the vessels. The mathematical analysis is conducted by employing the equilibrium, compatibility, and constitutive equations for the finite (logarithmic) strain theory together with suitable boundary conditions. The creep-failure time prediction relation is developed and solved using analytical and/or numerical methods. Parametric studies for various wall thickness ratios, creep-law exponents and pressure magnitudes are performed and presented in the form of graphs. It is expected that this investigation, employing a combination of mathematics and nonlinear mechanics, will provide useful guidelines for predicting more accurate creep-failure time and may thus lead to a safer design of thick-walled spherical vessels.

本文研究了厚壁球形容器蠕变失效时间的预测问题。厚壁球形容器是重要的结构部件，用于许多工业，如石油、化工、核能和其他工业。这些行业需要在复杂的热和机械载荷下运行，其中蠕变变形普遍存在。事实上，蠕变下的持续变形可能达到一个值，在这个值中，小应变的假设变得越来越无效，这一事实已经通过在用于执行容器蠕变破坏预测时间的数学框架中使用有限应变公式得到了考虑。采用有限（对数）应变理论的平衡方程、相容方程和本构方程，结合适当的边界条件进行了数学分析。建立了蠕变-失效时间预测关系，并采用解析和（或）数值方法求解。对不同壁厚比、蠕变定律指数和压力大小进行了参数化研究，并以图的形式呈现。预计该研究将采用数学和非线性力学相结合的方法，为预测更准确的蠕变失效时间提供有用的指导，从而可能导致更安全的厚壁球形容器设计。

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引用次数: 0

Hybrid piezoelectric–electromagnetic flow energy harvester for self-powered IoT-based pipeline monitoring systems 用于自供电物联网管道监测系统的压电-电磁混合流能量采集器

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2026-03-01 Epub Date: 2025-12-15 DOI: 10.1016/j.apples.2025.100284

Wahad Ur Rahman , Farid Ullah Khan

This study discusses a hybrid flow energy harvester that integrates electromagnetic (EM) and piezoelectric (PE) effects to convert fluid flow into electricity, thereby powering an Internet of Things (IoT) system for pipeline monitoring. The prototype featured an unimorph circular piezoelectric plate attached to an adjustable housing, with three cylindrical magnets fixed at the center of the brass side, and a wound coil positioned in an adjustable coil holder above the magnets. Laboratory tests showed that the harvester achieved a maximum RMS load voltage of 2.33 V at an optimal load of 27 kΩ from the PE component and 169 mV at an optimal load of 200 Ω from the EM component. The PE part generated 201 µW of peak load power, whereas the EM part produced 144 µW at a flow pressure of 2.9 kPa and a flow rate of 11.08 l/s. When combined with a rectifier circuit, it produced up to 7.68 V DC from the PE section and 3.15 V DC from the EM section under the same conditions. Additionally, at these flow rates, the maximum DC power output was 169 µW from the piezoelectric element at a 90 kΩ load resistance and 125 µW from the EM element at 9.5 kΩ, respectively. Over 336 min, this device effectively charged the power backup from 1.11 to 4.31 V, demonstrating its practical applicability. A comparative analysis shows that this innovative hybrid harvester outperforms existing flow energy harvesters in both output power and energy efficiency.

本研究讨论了一种混合流动能量收集器，它集成了电磁（EM）和压电（PE）效应，将流体流动转化为电能，从而为用于管道监测的物联网（IoT）系统提供动力。这个原型的特点是，一个固定在可调节外壳上的单形圆形压电板，在黄铜一侧的中心固定了三个圆柱形磁铁，在磁铁上方的可调节线圈支架上放置了一个缠绕线圈。实验室测试表明，当PE组件的最佳负载为27 kΩ时，收割机的最大RMS负载电压为2.33 V，当EM组件的最佳负载为200 Ω时，收割机的最大RMS负载电压为169 mV。在流量为11.08 l/s、流量为2.9 kPa时，PE部分产生的峰值负载功率为201µW， EM部分产生的峰值负载功率为144µW。当与整流电路相结合时，在相同条件下，PE部分产生高达7.68 V的DC， EM部分产生3.15 V的DC。此外，在这些流量下，压电元件在90 kΩ负载电阻下的最大直流功率输出为169 μ W， EM元件在9.5 kΩ负载电阻下的最大直流功率输出为125 μ W。该装置在336分钟内将备用电源从1.11 V有效充电至4.31 V，证明了其实用性。对比分析表明，这种创新的混合动力收割机在输出功率和能效方面都优于现有的流能收割机。

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引用次数: 0

Transitional behaviour prediction in iron tailings via artificial intelligence 基于人工智能的铁尾矿过渡行为预测

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2026-03-01 Epub Date: 2026-01-27 DOI: 10.1016/j.apples.2026.100302

Ismail Adeniyi OKEWALE, Hendrik GROBLER

The significant contributions of mining of minerals to the development of any nation make the generation of tailings inevitable and therefore, understanding their characteristics is vital. The contribution of engineering granulometric signatures to the aspect of behaviour called transitional mode (non-convergent) is also crucial. This work presents the artificial intelligence based study for the prediction of transitional behaviour in iron tailings considering engineering granulometric indices. This was achieved by conducting laboratory tests on dry compacted DC, wet compacted WC and slurry SL iron tailings and re-analysis of data from previous studies to determine transitional behaviour as well as predicting their behaviour using artificial neural network and adaptive neuro-fuzzy inference system. The iron tailings are poorly graded with strong degree of transitional behaviour with m values ranging from 0.32 to 0.81. The ANN models for DC, WC, SL and combined samples CS have relative similar correlation values and ditto for the ANFIS models. This signifies that the influence of sample preparations is not significant. The ANN model is reliable and could be used to predict the transitional mode of behaviour in iron tailings. However, the ANFIS model is less suitable for the prediction of transitional behaviour in iron tailings. The ANN model has the best performance based on low model errors and highest accuracy in prediction.

矿物开采对任何国家的发展都有重大贡献，因此尾矿的产生是不可避免的，因此，了解它们的特性是至关重要的。工程颗粒特征对称为过渡模式（非收敛）的行为方面的贡献也至关重要。本文提出了一种基于人工智能的考虑工程粒度指标的铁尾矿过渡特性预测方法。这是通过对干压实DC、湿压实WC和浆状SL铁尾矿进行实验室测试，并重新分析先前研究的数据，以确定过渡行为，并使用人工神经网络和自适应神经模糊推理系统预测其行为来实现的。铁尾矿级配差，过渡性强，m值在0.32 ~ 0.81之间。DC、WC、SL和组合样本CS的人工神经网络模型具有相对相似的相关值，而ANFIS模型也具有相似的相关值。这表明样品制备的影响不显著。人工神经网络模型可靠，可用于预测铁尾矿的过渡模式。然而，ANFIS模型不太适合预测铁尾矿的过渡行为。人工神经网络模型具有模型误差小、预测精度高的特点。

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引用次数: 0

PCA and CNN-based detection and classification of faults in distribution network with distributed energy resources 基于PCA和cnn的分布式能源配电网故障检测与分类

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2026-03-01 Epub Date: 2026-01-22 DOI: 10.1016/j.apples.2026.100300

Nilesh Chothani , Ishan Desai , Choon Kit chan , Subhav Singh , Deekshant Varshney , Nithesh Naik

Distributed Energy Resources (DERs) have been preferred to fulfil load demand in the Distribution Network (DN) for the past few years because of advantages like power loss reduction, improvement in reliability and voltage regulation. Integrating DERs in the distribution network increases normal as well as fault current, alters existing protection coordination and introduces complex dynamics that necessitate modern fault detection and classification techniques to ensure reliable operation. This article proposes a hybrid approach combining Principal Component Analysis (PCA) and Convolutional Neural Networks (CNN) for Fault Detection and Classification (FDC) in Distribution Networks with DERs. PCA is employed for feature extraction that captures fault-related patterns while mitigating noise, and computational complexity and fault classification with high accuracy is performed by CNN, which leverages its deep learning capabilities. The proposed method is validated using a modified IEEE 9-Bus distribution network, while data was generated through PSCAD/EMTDC software with different cases. The developed Results demonstrate that the hybrid PCA and CNN framework-based scheme achieves superior fault detection sensitivity and classification accuracy compared to other existing methods, with robust performance under different conditions. This approach offers an efficient solution for enhancing the reliability and resilience of modern distribution networks.

近年来，分布式能源（DERs）因其具有降低功率损耗、提高可靠性和电压调节等优点而成为满足配电网（DN）负荷需求的首选。在配电网中集成DERs增加了正常和故障电流，改变了现有的保护协调，并引入了复杂的动力学，需要现代故障检测和分类技术来确保可靠运行。本文提出了一种将主成分分析（PCA）与卷积神经网络（CNN）相结合的配电网络故障检测与分类方法。采用PCA进行特征提取，在降低噪声的同时捕获故障相关模式，CNN利用其深度学习能力进行计算复杂度和高精度的故障分类。采用改进的IEEE 9总线配电网对该方法进行了验证，并通过PSCAD/EMTDC软件生成了不同情况下的数据。研究结果表明，基于PCA和CNN框架的混合故障检测方案在不同条件下均具有较好的鲁棒性，具有较好的故障检测灵敏度和分类精度。该方法为提高现代配电网的可靠性和弹性提供了一种有效的解决方案。

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引用次数: 0