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Adaptive Vibrarthographic Signal Denoising via Ant Colony Optimization Using Dynamic Denoising Filter Parameters 基于动态去噪滤波器参数的蚁群优化自适应地震信号去噪
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-12-22 DOI: 10.46604/ijeti.2021.8718
Rui Gong, K. Hase, Hajime Ohtsu, S. Ota
This study proposes an ant colony optimization (ACO) denoising method with dynamic filter parameters. The proposed method is developed based on ensemble empirical mode decomposition (EEMD), and aims to improve the quality of vibrarthographic (VAG) signals. It mixes the original VAG signals with different white noise amplitudes, and adopts a hybrid technology that combines EEMD with a Savitzky-Golay (SG) filter containing the dynamic parameters optimized by ACO. The results show that the proposed method provides a higher peak signal-to-noise ratio (PSNR) and a smaller root-mean-square difference than the regular methods. The SNR improvement for the VAG signals of normal knees can reach 13 dB while maintaining the original signal structure, and the SNR improvement for the VAG signals of abnormal knees can reach 20 dB. The method proposed in this study can improve the quality of nonstationary VAG signals.
本文提出了一种具有动态滤波器参数的蚁群优化去噪方法。该方法基于集成经验模式分解(EEMD),旨在提高振动记录(VAG)信号的质量。它混合了具有不同白噪声幅度的原始VAG信号,并采用了将EEMD与包含ACO优化的动态参数的Savitzky Golay(SG)滤波器相结合的混合技术。结果表明,与常规方法相比,该方法具有更高的峰值信噪比和更小的均方根差。正常膝关节的VAG信号在保持原始信号结构的情况下,信噪比提高可达13dB,异常膝关节VAG信号的信噪比改善可达20dB。本文提出的方法可以提高非平稳VAG信号的质量。
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引用次数: 1
Electronically Tunable TISO Voltage-Mode Universal Filter Using Two LT1228s 使用两个LT1228的可电子调谐TISO电压模式通用滤波器
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-12-20 DOI: 10.46604/ijeti.2021.8499
May Phu Pwint Wai, W. Jaikla, Surapong Siripongdee, A. Chaichana, P. Suwanjan
This study aims to design an electronically tunable voltage-mode (VM) universal filter utilizing commercially available LT1228 integrated circuits (ICs) with three-input and single-output (TISO) configuration. With the procedure based on two integrator loop filtering structures, the proposed filter consists of two LT1228s, four resistors, and two grounded capacitors. It realizes five filter output responses: low-pass, all-pass, band-reject, band-pass, and high-pass functions. By selecting input voltage signals, each output responses can be achieved without changing the circuit architecture. The natural angular frequency can be controlled electronically. The input voltage nodes Vin1 and Vin3 possess high impedance. The output node has low impedance, so it can be cascaded to other circuits. The performance of the proposed filter is corroborated by PSpice simulation and hardware implementation which support the theoretical assumptions. The result shows that the range of total harmonic distortion (THD) is lower than 1%, and that the higher the temperature is, the lower the natural angular frequency is.
本研究旨在设计一种电子可调谐电压模式(VM)通用滤波器,该滤波器利用市售的LT1228集成电路(IC),具有三输入单输出(TISO)配置。采用基于两个积分器环路滤波结构的程序,所提出的滤波器由两个LT1228、四个电阻器和两个接地电容器组成。它实现了五种滤波器输出响应:低通、全通、带阻、带通和高通功能。通过选择输入电压信号,可以在不改变电路结构的情况下实现每个输出响应。自然角频率可以通过电子方式控制。输入电压节点Vin1和Vin3具有高阻抗。输出节点具有低阻抗,因此可以级联到其他电路。PSpice仿真和支持理论假设的硬件实现验证了所提出滤波器的性能。结果表明,总谐波失真范围小于1%,温度越高,固有角频率越低。
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引用次数: 1
Ultrasonic Measurement for the Experimental Investigation of Velocity Distribution in Vapor-Liquid Boiling Bubbly Flow 汽液沸腾鼓泡流速度分布实验研究中的超声测量
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-12-07 DOI: 10.46604/ijeti.2021.8329
W. Wongsaroj, H. Takahashi, N. Thong-un, H. Kikura
This study proposes an ultrasonic velocity profiler (UVP) with a single ultrasonic gas-liquid two-phase separation (SUTS) technique to measure the velocity distribution of vapor-liquid boiling bubbly flow. The proposed technique is capable of measuring the velocity of the vapor bubble and liquid separately in boiling conditions. To confirm the viability of the measurement technique, the experiment is conducted on vertical pipe flow apparatus. The ultrasonic transmission and effect of ultrasonic refraction through the pipe wall and water are investigated at ambient temperature until subcooled boiling temperature is reached. The velocity profile in the water at elevated temperature is measured to verify the ability of the technique in this application. The bubbly flow velocity distribution measurement in boiling conditions is then demonstrated. The results show that the proposed technique can effectively investigate the velocity of both phases under various fluid conditions in boiling bubbly flow.
本文提出了一种采用单超声气液两相分离(SUTS)技术的超声速度测定仪(UVP),用于测量汽液沸腾气泡流的速度分布。该技术能够在沸腾条件下分别测量蒸汽泡和液体的速度。为了验证该测量技术的可行性,在垂直管流仪上进行了实验。在室温至过冷沸腾温度下,研究了超声波在管壁和水中的透射和折射效果。为了验证该技术在该应用中的能力,测量了高温下水中的速度剖面。然后演示了沸腾条件下气泡流速分布的测量。结果表明,该方法可以有效地研究沸腾气泡流中两相在不同流体条件下的速度。
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引用次数: 1
Laboratory Model Tests on Stone Column and Pervious Concrete Columns: A Comparative Study 石柱与透水混凝土柱室内模型试验的比较研究
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-10-01 DOI: 10.46604/ijeti.2021.7993
J. Patel, C. Solanki, Y. Tandel, B. Patel
This study aims to perform laboratory model tests to investigate the load-deformation behavior of stone columns (SCs), pervious concrete columns (PCCs), and composite columns (CCs). Here, CC refers to the column which has the upper portion made of PCC and the lower portion made of SC. The parameters investigated in this study include column diameters, column lengths, and installation methods (pre-cast and cast-in-situ methods). The results of the model tests reveal that the axial load-carrying capacity of PCC is nearly 8 times more than that of SC with the same diameter. Moreover, it is also observed that at the top portion of SC, with the PCC length which is about 3.75 to 5 times the column diameter, the load-carrying capacity can significantly increase. It is concluded that the installation methods have marginal influence on the load-deformation behavior of PCC.
本研究旨在进行实验室模型试验,以研究碎石柱(SC)、透水混凝土柱(PCCs)和复合柱(CC)的荷载变形行为。这里,CC是指上部由PCC制成,下部由SC制成的柱。本研究中研究的参数包括柱直径、柱长度和安装方法(预制和现浇方法)。模型试验结果表明,PCC的轴向承载力是相同直径SC的近8倍。此外,还观察到,在SC的顶部,PCC长度约为柱直径的3.75至5倍,承载能力可以显著提高。结果表明,安装方式对PCC的荷载变形行为影响不大。
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引用次数: 1
A Hybrid Simulation of Converter-Interfaced Generation as the Part of a Large-Scale Power System Model 作为大型电力系统模型一部分的变流器接口发电的混合仿真
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-09-23 DOI: 10.46604/ijeti.2021.7276
I. Razzhivin, A. Askarov, V. Rudnik, A. Suvorov
This study aims to propose an alternative hybrid approach to model renewable energy sources (RESs), which provide the most reliable results in comparison with the existing simulating tools. Within the framework of this approach, a specialized hybrid processor for modeling converter-interfaced generation (CIG) is developed. This study describes its structure and validation in the test system by comparing the results with commercial modeling tools, and also presents experimental studies of its operation as parts of the practical power system. The results obtained confirm the adequacy of the developed tools.
本研究旨在提出一种替代的混合方法来模拟可再生能源,与现有的模拟工具相比,该方法提供了最可靠的结果。在这种方法的框架内,开发了一种用于建模转换器接口生成(CIG)的专用混合处理器。本研究通过将结果与商业建模工具进行比较,描述了其结构和在测试系统中的验证,并将其作为实际电力系统的一部分进行了运行的实验研究。所获得的结果证实了所开发工具的充分性。
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引用次数: 12
A Review on Advances in Automated Plant Disease Detection 植物病害自动检测研究进展
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-09-10 DOI: 10.46604/ijeti.2021.8244
Radhika Bhagwat, Y. Dandawate
Plant diseases cause major yield and economic losses. To detect plant disease at early stages, selecting appropriate techniques is imperative as it affects the cost, diagnosis time, and accuracy. This research gives a comprehensive review of various plant disease detection methods based on the images used and processing algorithms applied. It systematically analyzes various traditional machine learning and deep learning algorithms used for processing visible and spectral range images, and comparatively evaluates the work done in literature in terms of datasets used, various image processing techniques employed, models utilized, and efficiency achieved. The study discusses the benefits and restrictions of each method along with the challenges to be addressed for rapid and accurate plant disease detection. Results show that for plant disease detection, deep learning outperforms traditional machine learning algorithms while visible range images are more widely used compared to spectral images.
植物病害造成重大的产量和经济损失。为了在早期发现植物病害,选择合适的技术是必要的,因为它影响到成本、诊断时间和准确性。本研究综述了基于图像和处理算法的各种植物病害检测方法。系统分析了用于处理可见光和光谱范围图像的各种传统机器学习和深度学习算法,并从使用的数据集、使用的各种图像处理技术、使用的模型和实现的效率等方面对文献所做的工作进行了比较评价。本研究讨论了每种方法的优点和局限性,以及快速准确地检测植物病害所面临的挑战。结果表明,对于植物病害检测,深度学习优于传统的机器学习算法,而可见光范围图像比光谱图像应用更广泛。
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引用次数: 5
Planar EBG Loaded UWB Monopole Antenna with Triple Notch Characteristics 具有三陷波特性的平面EBG加载超宽带单极天线
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-09-03 DOI: 10.46604/ijeti.2021.8084
V. Kollipara, Samineni Peddakrishna, J. Kumar
A triple band-notched ultra-wideband (UWB) monopole antenna using a planar electromagnetic bandgap (EBG) design is proposed. The EBG unit cell composed by an Archimedean spiral and inter-digital capacitance demonstrates the notch frequencies. The antenna with EBG cells near the feed line occupies only 30 × 36 mm2 with triple band-rejection characteristics. The three notched bands at 4.2 GHz, 5.2 GHz, and 9.1 GHz can be used in C-band satellite downlink, wireless local area network (WLAN), and X-band radio location for naval radar or military required applications. In addition, the proposed design is flexible to tune different notched bands by altering the EBG dimensions. The parametric analysis is studied in details after placing the EBG unit cells near the feed line to show the coupling effect. The input impedance and surface current distribution analysis are also analyzed to understand the effect of EBG at notch frequencies. The proposed design prototype is fabricated and characterized. A fairly considerable agreement is observed between simulated and measured results.
提出了一种采用平面电磁带隙(EBG)设计的三频陷波超宽带(UWB)单极子天线。由阿基米德螺旋和数字间电容组成的EBG单元展示了陷波频率。在馈线附近具有EBG单元的天线仅占30×36mm2,具有三频带抑制特性。4.2GHz、5.2GHz和9.1GHz的三个陷波频带可用于C波段卫星下行链路、无线局域网(WLAN)和X波段无线电定位,用于海军雷达或军事应用。此外,所提出的设计是灵活的,可以通过改变EBG的尺寸来调谐不同的陷波带。将EBG单元电池放置在馈线附近后,对参数分析进行了详细研究,以显示耦合效应。还分析了输入阻抗和表面电流分布分析,以了解EBG在陷波频率下的影响。制作并表征了所提出的设计原型。在模拟结果和测量结果之间观察到相当大的一致性。
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引用次数: 8
Using Deep Learning Technology to Realize the Automatic Control Program of Robot Arm Based on Hand Gesture Recognition 利用深度学习技术实现基于手势识别的机械臂自动控制程序
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-08-09 DOI: 10.46604/ijeti.2021.7342
Shang-Liang Chen, Li-Wu Huang
In this study, the robot arm control, computer vision, and deep learning technologies are combined to realize an automatic control program. There are three functional modules in this program, i.e., the hand gesture recognition module, the robot arm control module, and the communication module. The hand gesture recognition module records the user’s hand gesture images to recognize the gestures’ features using the YOLOv4 algorithm. The recognition results are transmitted to the robot arm control module by the communication module. Finally, the received hand gesture commands are analyzed and executed by the robot arm control module. With the proposed program, engineers can interact with the robot arm through hand gestures, teach the robot arm to record the trajectory by simple hand movements, and call different scripts to satisfy robot motion requirements in the actual production environment.
本研究将机器人手臂控制、计算机视觉和深度学习技术相结合,实现自动控制程序。本程序包含三个功能模块,即手势识别模块、机械臂控制模块和通信模块。手势识别模块记录用户的手势图像,使用YOLOv4算法识别手势特征。识别结果通过通信模块传输到机器人手臂控制模块。最后,机器人手臂控制模块对接收到的手势指令进行分析和执行。通过提出的程序,工程师可以通过手势与机器人手臂进行交互,通过简单的手部动作教会机器人手臂记录轨迹,并调用不同的脚本,满足实际生产环境中机器人的运动需求。
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引用次数: 6
Finite Element Based Comparative Analysis of Positive Streamers in Multi Dispersed Nanoparticle Based Transformer Oil 基于多分散纳米颗粒基变压器油中正流光的有限元对比分析
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-08-09 DOI: 10.46604/ijeti.2021.7681
Mihir Bhatt, P. Bhatt
The dispersion of dissimilar nanoparticles (NPs) in transformer oil (TO) has a major impact on fast propagating positive streamers. This work investigates the positive streamer dynamics in TO modified by dispersing both Fe3O4 and Al2O3 NPs at a homogenous concentration. The hydrodynamic drift diffusion model of positive streamer evolution and propagation are solved using the commercial software package COMSOL Multiphysics. The impact of multiple NPs (MNPs) has been analysed for streamer propagation, electric field intensity, electron density, and space charge density of modified TO. MNPs successfully reduce streamer propagation velocity by 50%, 17%, and 37.5% comparing to pure oil, Fe3O4 based nanodielectric fluids (NDFs), and Al2O3 based NDFs, respectively. The spatial distribution of electron density reveals the loss of electrons from the ionization region until the saturation of NPs. A comparative study demonstrates that MNPs significantly alter the streamer dynamics and augment the dielectric strength of TO compared to individual NPs.
不同纳米颗粒(NPs)在变压器油(TO)中的分散对快速传播的正拖缆有重要影响。本研究研究了均匀分散Fe3O4和Al2O3纳米粒子修饰TO中的正流光动力学。利用商用软件COMSOL Multiphysics求解了正流演化和传播的流体动力漂移扩散模型。分析了多个NPs (MNPs)对改性TO的流光传播、电场强度、电子密度和空间电荷密度的影响。与纯油、基于Fe3O4的纳米介质流体(ndf)和基于Al2O3的ndf相比,MNPs成功地将流光传播速度分别降低了50%、17%和37.5%。电子密度的空间分布揭示了电离区直到NPs饱和为止的电子损失。一项比较研究表明,与单个np相比,MNPs显著改变了流光动力学并增加了TO的介电强度。
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引用次数: 1
Investigation into the Thermal Behavior and Loadability Characteristic of a YASA-AFPM Generator via an Improved 3-D Coupled Electromagnetic-Thermal Approach 用改进的三维耦合电磁热方法研究YASA-AFPM发电机的热行为和负载特性
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-04-01 DOI: 10.46604/IJETI.2021.6221
S. Arand, A. Akbari, M. Ardebili
The objective of this paper is to investigate the thermal behaviour and loadability characteristic of a yokeless and segmented armature axial-flux permanent-magnet (YASA-AFPM) generator, which uses an improved 3-D coupled electromagnetic-thermal approach. Firstly, a 1-kW YASA-AFPM generator is modelled and analysed by using the proposed approach; the transient and steady-state temperatures of different parts of the generator are determined. To improve the modelling accuracy, the information is exchanged between the thermal and electromagnetic models at each step of the co-simulation, considering both the accurate calculation of losses and the impacts of temperature rise on the temperature-dependent characteristics of the materials. Then, by using the proposed approach, the impact of the slot opening width and the turn number of stator segments on the generator loadability are investigated. After that, the experimental tests are performed. The results reveal the effectiveness and accuracy of the approach to predict the machine loadability and thermal behavior.
本文的目的是研究无磁分段电枢轴向磁通永磁(YASA-AFPM)发电机的热行为和负载特性,该发电机使用了一种改进的三维耦合电磁热方法。首先,使用所提出的方法对1kW YASA-AFPM发电机进行了建模和分析;确定了发电机不同部件的瞬态温度和稳态温度。为了提高建模精度,在协同模拟的每个步骤,在热模型和电磁模型之间交换信息,同时考虑损失的精确计算和温升对材料温度相关特性的影响。然后,利用所提出的方法,研究了槽开口宽度和定子节段匝数对发电机负载能力的影响。然后进行了实验测试。结果表明,该方法预测机器负载能力和热性能的有效性和准确性。
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引用次数: 1
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International Journal of Engineering and Technology Innovation
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