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Advancing structural integrity prediction with optimized neural network and vibration analysis

JOURNAL OF STRUCTURAL INTEGRITY AND MAINTENANCE 2024年第3期9卷

作者： Khatir, Abdelwahhab Capozucca, Roberto Magagnini, Erica Brahim, Abdelmoumin Oulad Osmani, Amine Khatir, Samir Abualigah, Laith Polytech Univ Marche Struct Sect DICEA Ancona Italy Univ Sci & Technol Mohamed Boudiaf Oran USTO MB Dept Civil Engn Oran Algeria Ho Chi Minh City Open Univ Ctr Engn Applicat & Technol Solut Ho Chi Minh City Vietnam Al Al Bayt Univ Dept Comp Sci Mafraq Jordan Lebanese Amer Univ Dept Elect & Comp Engn Beirut Lebanon Middle East Univ MEU Res Unit Amman Jordan

Detecting and locating damage is a crucial endeavor within the field of structural integrity. While Artificial Neural Networks (ANNs) have shown promise in this regard, they have certain limitations that can be overcome through modifications in terms of their structural design and training methodologies. In this study, we propose a new optimization approach, specifically leveraging the Grasshopper optimization Algorithm (GOA), to enhance the performance of ANNs for predicting multiple damages represented by holes in the aluminum plate. Input parameters are derived from natural frequencies, while hole locations serve as outputs. We utilize a Finite Element Model (FEM) to generate data through simulation, varying hole locations for comprehensive analysis. To authenticate our method, we gather experimental data from vibration analyses of damaged plates spanning various hole locations. A comparative analysis is conducted of proposed algorithm by evaluating its performance against two established metaheuristic algorithms: the Genetic Algorithm (GA) and Ant Colony optimization (ACO). This comparison was performed to assess the relative effectiveness of our approach. Our novel approach demonstrates superior performance in damage forecasting, offering promising prospects for structural integrity applications.

关键词： Structural integrity prediction GOA optimization algorithms vibration analysis

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Electromagnetic control of oil-film supported rotors using sparse measurements

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Journal of Vibration and Acoustics, Transactions of the ASME 1988年第3期110卷 295-299页

作者： Burrows, C.R. Sahinkaya, M.N. Clements, S. Division of Dynamics and Control University of Strathclyde Glasgow United Kingdom

An electromagnetic controller is applied to a flexible rotor supported by two oil-film bearings. The synchronous vibration is controlled by using a combined estimation and optimization algorithm. This requires no a priori knowledge of the system model. The effect of using a limited number of measurement sites on the controller performance is assessed. Optimum measurement sites are defined. The results of both computer simulations and experimental studies are presented. It is shown that the strategy developed by the authors can reduce the synchronous vibration to less than 10 percent of the uncontrolled response. The open-loop adaptive strategy can be applied to reduce the time required for in-situ tuning of magnetic controllers. © 1988 by ASME.

关键词： Measurement Rotors Control equipment Vibration optimization algorithms Computer simulation Bearings

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DCFH: A dynamic clustering approach based on fire hawk optimizer in flying ad hoc networks

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Vehicular Communications 2024年 47卷

作者： Hosseinzadeh, Mehdi Ali, Saqib Ahmad, Husham Jawad Alanazi, Faisal Yousefpoor, Mohammad Sadegh Yousefpoor, Efat Darwesh, Aso Rahmani, Amir Masoud Lee, Sang-Woong Institute of Research and Development Duy Tan University Da Nang Viet Nam School of Medicine and Pharmacy Duy Tan University Da Nang Viet Nam Department of Information Systems College of Economics and Political Science Sultan Qaboos University Al Khoudh Muscat Oman Department of Communication and Computer Engineering Cihan University-Erbil Kurdistan Region Iraq Department of Electrical Engineering College of Engineering Prince Sattam bin Abdulaziz University Al-Kharj 11942 Saudi Arabia Center of Research and Strategic Studies Lebanese French University Kurdistan Region Iraq Department of Information Technology University of Human Development Kurdistan Region Sulaymaniyah Iraq Future Technology Research Center National Yunlin University of Science and Technology Yunlin Taiwan Pattern Recognition and Machine Learning Lab Gachon University 1342 Seongnamdaero Sujeonggu Seongnam 13120 South Korea

In flying ad hoc networks (FANETs), unmanned aerial vehicles (UAVs) communicate with each other without any fixed infrastructure. Because of frequent topological changes, instability of wireless communication, three-dimensional movement of UAVs, and limited resources, especially energy, FANETs deal with many challenges, especially the instability of UAV swarms. One solution to address these problems is clustering because it maintains network performance and increases scalability. In this paper, a dynamic clustering scheme based on fire hawk optimizer (DCFH) is proposed for FANETs. In DCFH, each cluster head calculates the period of hello messages in its cluster based on its velocity. Then, a fire hawk optimizer (FHO)-based dynamic clustering operation is carried out to determine the role of each UAV (cluster head (CH) or cluster member (CM)) in the network. To calculate the fitness value of each fire hawk, a fitness function is suggested based on four elements, namely the balance of energy consumption, the number of isolated clusters, the distribution of CHs, and the neighbor degree. To improve cluster stability, each CH manages the movement of its CMs and adjusts it based on its movement in the network. In the last phase, DCFH defines a greedy routing process to determine the next-hop node based on a score, which consists of distance between CHs, energy, and buffer capacity. Finally, DCFH is simulated using the network simulator version 2 (NS2), and its performance is compared with three methods, including the mobility-based weighted cluster routing scheme (MWCRSF), the dynamic clustering mechanism (DCM), and the Grey wolf optimization (GWO)-based clustering protocol. The simulation results show that DCFH well manages the number of clusters in the network. It improves the cluster construction time (about 55.51%), cluster lifetime (approximately 11.13%), energy consumption (about 15.16%), network lifetime (about 2.6%), throughput (approximately 3.9%), packet deliver

关键词： Artificial intelligence (AI) Clustering Flying ad hoc networks (FANETs) optimization algorithms Unmanned aerial vehicles (UAVs)

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Hardware-in-the-loop testing of grid-tied PMSG-based wind power generation system with optimum PI parameters

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e-Prime - Advances in Electrical Engineering, Electronics and Energy 2023年 5卷

作者： Tripathi, S.M. Singh, U.P. Singh, Sonu Rai, N.K. Himani Srivastava, A.K. Power & Energy Research Centre (PERC) Department of Electrical Engineering Kamla Nehru Institute of Technology (U.P.) Sultanpur India Rail Vikas Nigam Limited U.P. Pilibhit India Indian Railways India Department of Electrical Engineering Institute of Engineering and Technology Dr. Rammanohar Lohia Avadh University U.P. Ayodhya India

The regulators based on PI control law continue to be the key elements in many of the industrial systems for their control. Likewise, the wind power generation systems (WPGSs) also make extensive use of PI regulators in their control schemes. The enhanced performance of these WPGS depends on proper selection of the PI regulator parameters. This paper deals with the control of a grid-tied permanent magnet synchronous generator (PMSG)-based WPGS wherein, a new attempt has been depicted to apply the most optimum design of the involved PI regulator parameters for the proposed WPGS based on standard performance indices making use of four popular optimization algorithms namely genetic algorithm (GA), cultural algorithm (CA), particle swarm optimization (PSO) and artificial bee colony (ABC). An informative discussion has also been presented which would be useful for practicing engineers/researchers to select flexibly and reasonably the PI regulators parameters meant for the control of the proposed WPGS. A detailed simulation model developed in MATLAB/Simulink has been used to analyze the performance of the proposed PMSG-based WPGS employed with the most optimum values of PI regulator parameters. The performances of WPGS have been compared while the most optimum PI regulator parameters have been included in the control system, and also when incorporating the PI regulator parameters in WPGS control designed via classical D-partition technique. The results obtained under gradually changing wind speed profile show the improvement in the performance of WPGS in terms of peak overshoot, time response and waveform oscillations. The experimental validation of the control performances have been carried out by way of real-time hardware-in-the-loop (HIL) testing making use of Typhoon HIL402 emulator and TMS320F28335 digital signal controller. The obtained real time HIL results are in close agreement to the results obtained in simulations using MATLAB/Simulink. A deviation of less than

关键词： Hardware-in-the-loop testing optimization algorithms Permanent magnet synchronous generator (PMSG) PI regulator Wind power generation systems (WPGS)

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Application of the Monte Carlo Method in Simulative Generation Test Problems Simulative Generation Test Problems

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Journal of Beijing Institute of Technology 1992年第2期1卷 158-165页

作者：黄心渊万耀青北京理工大学车辆工程学院

An approach for generating test problems by a computer using the Monte Carlo method based upon user-given characterizations is described.A single point X~* is prespocified by the user to be a solution of the test *** approach is flex- ible enough to specify function values,gradients,Hesse,degeneracy degree and ill- conditioned degree at the point X~*.Other numerical features such as indefiniteness, convexity are also under user's control.

关键词： optimization algorithms Monte Carlo method convex optimum value ill-conditioned matrices

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排序论在铁路专用线调车问题中的应用

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郑州大学学报（理学版） 1987年第2期28卷 1-8页

作者：林诒勋

铁路专用线调车作业的因素很多,各方面的制约关系也比较复杂;但其中一个中心问题是如何确定机车的作业顺序,以期机车的作业时间或任务的延误时间达到最小限度。这是运筹学中的排序问题。本文的目的是探讨有关的数学模型,希望有朝一日用... 详细信息

铁路专用线调车作业的因素很多,各方面的制约关系也比较复杂;但其中一个中心问题是如何确定机车的作业顺序,以期机车的作业时间或任务的延误时间达到最小限度。这是运筹学中的排序问题。本文的目的是探讨有关的数学模型,希望有朝一日用计算机来制定最优的调度方案。

关键词： Locomotive dispatching Scheduling optimization algorithms NP—complete

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Optimal Design of Meander-Line Antennas for Radio Frequency Identification

Optimal Design of Meander-Line Antennas for Radio Frequency ...

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Biennial Institute of Electrical and Electronics Engineers Conference on Electomagnetic Field Computation

作者： A. C. Lisboa X. L. Travassos M. M. B. Lima D. A. G. Vieira INACOM - Handcrafted Technologies SENAI - Integrated Center of Manufacture and Technology

ISBN: (纸本)9781424470594

This paper presents optimization problem formulations to design meander-line antennas for passive radio frequency identification tags based on given specifications of input impedance, frequency range and geometric constraints. In this application, there is a need for directive transponders to select properly the target tag, which must be ideally isotropic. The design of an effective meander-line antenna for RFID purposes requires balancing geometrical characteristics with the microchip impedance. Therefore, there is an issue of optimization in determining the antenna parameters for best performance. The antenna is analysed by a method of moments. Some results using a deterministic optimization algorithm are shown.

关键词： Radio frequency identification meander line ANTENNA Optimal design optimization algorithms geometric constraint METHOD OF MOMENTS antennae impedance

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Pricing for Demand Shaping and Proactive Download in Smart Data Networks

Pricing for Demand Shaping and Proactive Download in Smart D...

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IEEE INFOCOM Conference

作者： John Tadrous Atilla Eryilmaz Hesham El Gamal Department of Electrical and Computer Engineering The Ohio State University USA

ISBN: (纸本)9781467359443

We address the question of optimal proactive service and demand shaping for content distribution in data networks through smart pricing. We develop a proactive download scheme that utilizes the probabilistic predictability of the human demand by proactively serving potential users' future requests during the off-peak times. Thus, it smooths-out the network traffic and minimizes the time average cost of service. Moreover, we incorporate the varying economic responsiveness and demand flexibilities of users into our model to develop a demand shaping mechanism that further improves the gains of proactive downloads. To that end, we propose a model that captures the uncertainty about the users' demand as well as their responsiveness to the pricing employed by the service providers. We propose a joint proactive resource allocation and demand shaping scheme based on non-convex optimization algorithms, and show that it always leads to strictly better performance over its proactive counterpart without demand shaping.

关键词： Pricing DADANET Downloading Content distribution optimization algorithms Responsiveness traffic network Resource utilization

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Algorithmic Research Overview on Graph Coloring Problems

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Computer Engineering and Applications 2024年第18期60卷 66-77页

作者： Song, Jiahuan Wang, Xiaofeng Hu, Simin Jia, Jingwei Yan, Dong School of Computer Science and Engineering North Minzu University Yinchuan750021 China Laboratory of Image & Graphics Intelligent Processing of State Ethnic Affairs Commission North Minzu University Yinchuan750021 China

The graph coloring problem (GCP) is a classic combinatorial optimization problem that has been widely applied in various fields such as mathematics, computer science, and biological science. Due to the NP hard nature of graph coloring problems, there is currently no precise algorithm in polynomial time to solve the problem. In order to provide an efficient algorithm for solving this problem, it is necessary to review the existing algorithms. It mainly divided into intelligent optimization algorithms, heuristic algorithms, reinforcement learning algorithms, etc., comparative analysis is carried out from the aspects of algorithm principles, improvement ideas, performance and accuracy, summarizing the advantages and disadvantages of algorithms, and pointing out the research direction and algorithm design path of GCP, which has guiding significance for the research of related problems. © 2024 Journal of Computer Engineering and Applications Beijing Co., Ltd.;Science Press. All rights reserved.

关键词： optimization algorithms

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BI-OBJECTIVE REGULATING OF DVR COMPENSATOR TO MODIFY POWER QUALITY'S INDICES OF LOAD

BI-OBJECTIVE REGULATING OF DVR COMPENSATOR TO MODIFY POWER Q...

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International Conference and Exhibition on Electricity Distribution

作者： Mohammad Ali SHAMSI NEJAD Mohammad Ali ZAMEN Mahdi DADGAR Taghi VAHIDI Mohammad Reza KHALGHANI The University of Birjand Southern Khorasan Electric Distribution Company

ISBN: (纸本)9781629931333

This paper aims to present a control scheme based upon Particle Swarm optimization (PSO) algorithm in order to compensate the key power-quality disturbances, particularly voltage sags and harmonic voltages, using a Dynamic Voltage Restorer (DVR). According to the aforesaid method, DVR's PI controller structure is regulated via multi-objective PSO algorithm. We introduce the method for distribution systems to modify both SAG and THD as major power quality indices in sensitive loads at fault conditions. Therefore, we apply the multi-objective optimization algorithm in order to attain a better performance in solving the related problems.

关键词： LOAD Digital video recorders harmonic voltage voltage sags SAG SAG gene Total harmonic distortion dispensing system optimization algorithms parametric subharmonic oscillator dynamic voltage restorer quality indicator

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