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IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles / International Transportation Electrification Conference (ESARS-ITEC)

作者： Lanzarotto, Damiano Wallart, Francois Blaszczyk, Gal Verrax, Paul Bertinato, Alberto Leclere, Loic Supergrid Inst Villeurbanne France SNCF Reseau 93574 La Plaine St Denis France

ISBN: (纸本)9798350346893

At the early age of Railway Systems, the DC solution enabled the deployment of lightweight and efficient traction locomotives compared to AC systems as they do not have to carry a heavy step-down transformer and the rectifier bridge. Moreover, the contact line voltage is sustained by substations connected in parallel along the line, determining a high supply reliability and a balanced load for the AC power grid. However, the protection of this system against short circuit is a challenging task as the configuration of the DC system can change and the short-circuit current is in the order of the substation rated current. The protection system currently installed in DC railway systems is effective in clearing faults, however, it has reached its performance limit, and in order to increase the global system performance, new protection technologies must be investigated. In this paper, a new model-based Fault Detection algorithm (FDA) is proposed. The simulation results prove its ability to overcome the limitations of the current protection system and to localize the fault position in many operating conditions.

关键词： Railway DC model-based algorithm Fault Detection Railway

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model-based Power Transformer Protection Using Interactive Multiple model algorithm

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IEEE TRANSACTIONS ON POWER DELIVERY 2025年第1期40卷 410-422页

作者： Jahromi, Saeed Nikbakhsh Hajipour, Ehsan Ehsan, Mehdi Sharif Univ Technol Ctr Excellence Power Syst Management & Control Dept Elect Engn Tehran 136511155 Iran

In a centralized protection and control substation (CPC), all of the measurements of the substation, includes voltages and currents, are available to its centralized high-performance processor. This paper proposes a model-based algorithm for protection of the power transformer in a CPC-based substation. The main difficulty in the use of conventional model-based algorithms lies in modeling of the nonlinear behavior of the transformer core. To tackle this problem, in this paper, multiple linear models are employed to simulate the nonlinearity of the magnetic core. At each time instance, the dynamic behavior of the transformer will be followed by one of these linear models and, the proposed algorithm switches between these linear models based on the concept of interactive multiple model (IMM) algorithm. This way, not only the accuracy of the proposed algorithm increases but also the computational burden is significantly reduced compared to conventional model-based algorithms. Therefore, the proposed algorithm has better potential to be implemented in real-world microprocessors. Several experimental tests include turn-to-turn (TTF) and turn-to-ground faults (TGFs) have been employed to reveal the effectiveness of the proposed IMM-based protection algorithm.

关键词： Interactive multiple model (IMM) model-based algorithm power transformer protection power transformer protection power transformer protection

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Grasping Deformable Objects in Industry Application: A Comprehensive Review of Robotic Manipulation

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IEEE ACCESS 2025年 13卷 33403-33423页

作者： Wang, Yuanyang Mahyuddin, Muhammad Nasiruddin Univ Sains Malaysia Sch Elect & Elect Engn Nibong Tebal 14300 Pulau Pinang Malaysia

Grasping deformable objects remains a challenging operational task for robots in diverse industrial applications. Different characteristics of deformable objects to be gripped need to be considered in the mechanical design of the gripper. Mechanical grippers often rely on sensors and appropriate control strategies to grasp deformable objects. This study classifies deformable objects, grippers and gripper manufacturers, and their corresponding gripping strategies. In the study of control strategies, model-based algorithm control strategies are often ineffective as often the objects to be gripped are unknown in terms of its rigidity and other morphological characteristics. In contrast, model-free algorithms do not need parametric information of the objects as only input-output signal is required. This allows the model-free controlled grippers adapt to diverse and unstructured environments. Finally, the advantages and disadvantages of current deformable object-grasping techniques are discussed and summarized. The challenges and future directions of robots grasping deformable objects are pointed out.

关键词： Grippers Robots Grasping Adaptation models Manipulators Force Robot sensing systems Deformation Sensors Accuracy Deformable object object gripping gripper model-based algorithm model-free algorithm

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Anaerobic Digester Optimization Using Extremum Seeking and model-based algorithms. A Comparative Study

Anaerobic Digester Optimization Using Extremum Seeking and M...

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20th World Congress of the International-Federation-of-Automatic-Control (IFAC)

作者： Caraman, S. Barbu, M. Ifrim, G. Titica, M. Ceanga, E. Dunarea de Jos Univ Galati Domneasca St 47 Galati 800008 Romania Univ Nantes LUNAM ONIRIS GEPEAUMR CNRS 6144 Univ Bd CRTT BP 406 F-44600 St Nazaire France

The paper deals with the optimization of an anaerobic digester with respect to a performance criterion which targets the maximization of the methane production. It is penalized by the environment pollution with the discharged water. The paper includes a comparative study regarding the performances of two optimization approaches: the extremum seeking control, in stochastic and deterministic versions, and the model-based control respectively. The latter uses a characteristic of the optimal regimes which supplies the optimal setpoint (the dilution rate) as a function of the substrate concentration in the inflow, estimated by an extended Kalman filter. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： optimization anaerobic digester extremum seeking control model-based algorithm performance criterion

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A novel model-based multi-objective evolutionary algorithm

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INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS 2016年第2期7卷 177-189页

作者： Wang, Maocai Dai, Guangming Peng, Lei Song, Zhiming Mo, Li China Univ Geosci Sch Comp Wuhan 430074 Peoples R China China Univ Geosci Hubei Key Lab Intelligent Geoinformat Proc Wuhan 430074 Peoples R China

In multi-objective evolutionary algorithm (MOEA), modelling method is a crucial part. Moreover, variable linkages enable the modelling process more complex for multi-objective optimisation problems. The Karush-Kulm-Tucker condition shows that the Pareto set of a continuous MOP with m objectives is a piecewise continuous (m-1)-dimensional manifold. How to use this regularity property to model continuous MOP with variable linkages has been the research focus. In this paper, a model-based multi-objective evolutionary algorithm based on regression analysis (MMEA-RA) for continuous multi-objective optimisation problems with variable linkages is put forward. In the algorithm, the optimisation problem is modelled as a promising area in the decision space by a probability distribution, and the centroid of the probability distribution is (m-1)-dimensional piecewise continuous manifold. The least squares algorithm is used to build such a model. Systematic experiments have shown that, compared with two state-of-the-art algorithms, MMEA-RA performs excellent on a set of test instances with variable linkages.

关键词： multi-objective evolutionary algorithm MOEA least squares algorithm model-based algorithm regression analysis

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Enhanced high-resolution structural crack detection using hybrid interacting Particle-Kalman filter

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STRUCTURES 2024年 62卷

作者： Hoda, Md Armanul Kuncham, Eshwar Sen, Subhamoy Indian Inst Technol Mandi I4S Lab Mandi HP India

Monitoring the health of large-scale infrastructure with the required precision necessitates high-dimensional support models and extensive instrumentation. However, in a model-based structural health monitoring (SHM) framework, the ability to localize damage is constrained by the discretization of the model. To enhance the resolution of discretization, dense instrumentation is essential to address the inherent challenges in solving the inverse problem. Yet, increasing dimensionality can introduce detection delays, a critical concern in SHM. Additionally, addressing uncertainties stemming from the model, measurements, or external factors is crucial for reliable real-world SHM. This study focuses on localized damages, such as cracks, where detection precision is paramount. To tackle these challenges, this study proposes an innovative hybrid interacting Particle-Kalman filter (h-IPKF)-based SHM approach that surpasses model discretization limitations for detection resolution. This approach employs two distinct indices for crack localization: global (GDI) and local (LDI) damage indices. GDI identifies the affected element using a coarsely discretized predictor model, while LDI precisely pinpoints the crack location within the element. This paper represents the crack as a massless rotational spring with deteriorated stiffness (gamma) and parameterizes it using GDI, LDI, and gamma. Subsequently, the h-IPKF framework is employed to estimate the crack parameters, capable of handling both continuous and discrete random variables, which is advantageous for addressing discrete variables like GDI. Extensive numerical and real validation tests on beam structures were conducted to assess the algorithm's sensitivity to noise and damage severity, demonstrating its efficiency, promptness, and precision in detecting cracks within structures.

关键词： Damage detection Finite element model Mass-less rotational spring model-based algorithm Hybrid interacting Particle-Kalman filter Structural health monitoring

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Multi-objective optimization algorithms for building performance assessment - A benchmark

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INTERNATIONAL JOURNAL OF ARCHITECTURAL COMPUTING 2024年

作者： da Silva, Mario Alves Garcia, Rafael de Paula Carlo, Joyce Correna Univ Fed Vicosa Dept Architecture & Urban Planning Ave Peter Henry Rolfs S-NCampus Univ BR-36570900 Vicosa MG Brazil

The increasing development in the computational field that allowed software and hardware advances enables more refined building performance analysis. Simulation-based optimization (SBO) methods allow high standards to be achieved by combining parametric modeling, simulation, and optimization methods. However, SBO methods still need development, especially regarding the correct choice of the optimization algorithm based on the specific characteristics of each problem. This study proposes a multi-objective optimization algorithms benchmark by comparing seven multi-objective optimization algorithms: RBFMOpt, NSGA2, MHACO, NSPSO, MOEA/D, HypE, and SPEA2, across nine building-related problems, including thermal, energy, and daylight simulation. The problems varied from 5 to 18 discrete, continuous, and mixed parameters. The objective functions varied between two and three. We used the hypervolume indicator, IGD+, GD+, and EPS + to compare algorithms' performance and assess the tendency to reduce computational costs. We also performed the Kruskal-Wallis non-parametric test to analyze the impact of multiple runs on the hypervolume indicator. The results showed that RBFMOpt and HypE perform best across all problems. However, RBFMOpt tends to reduce computational costs since the algorithm requires fewer simulations to obtain the best results.

关键词： algorithms' performance metrics building energy optimization computational cost reduction genetic algorithms model-based algorithm

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Comparative study of the collapsed cone convolution and Monte Carlo algorithms for radiation therapy planning of canine sinonasal tumors reveals significant dosimetric differences

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VETERINARY RADIOLOGY & ULTRASOUND 2022年第1期63卷 91-101页

作者： Lee, Ber-In Boss, Mary-Keara LaRue, Susan M. Martin, Tiffany Leary, Del Colorado State Univ Coll Vet Med & Biomed Sci Dept Environm & Radiol Hlth Sci Ft Collins CO 80523 USA

Computer-based radiation therapy requires high targeting and dosimetric precision. Analytical dosimetric algorithms typically are fast and clinically viable but can have increasing errors near air-bone interfaces. These are commonly found within dogs undergoing radiation planning for sinonasal cancer. This retrospective methods comparison study is designed to compare the dosimetry of both tumor volumes and organs at risk and quantify the differences between collapsed cone convolution (CCC) and Monte Carlo (MC) algorithms. Canine sinonasal tumor plans were optimized with CCC and then recalculated by MC with identical control points and monitor units. Planning target volume (PTV)(air), PTVsoft tissue, and PTVbone were created to analyze the dose discrepancy within the PTV. Thirty imaging sets of dogs were included. Monte Carlo served as the gold standard calculation for the dosimetric comparison. Collapsed cone convolution overestimated the mean dose (D-mean) to PTV and PTVsoft tissue by 0.9% and 0.5%, respectively (both P < 0.001). Collapsed cone convolution overestimated D-mean to PTVbone by 3% (P < 0.001). Collapsed cone convolution underestimated the near-maximum dose (D-2) to PTVair by 1.1% (P < 0.001), and underestimated conformity index and homogeneity index in PTV (both P < 0.001). Mean doses of contralateral and ipsilateral eyes were overestimated by CCC by 1.6% and 1.7%, respectively (both P < 0.001). Near-maximum doses of skin and brain were overestimated by CCC by 2.2% and 0.7%, respectively (both P < 0.001). As clinical accessibility of Monte Carlo becomes more widespread, dose constraints may need to be re-evaluated with appropriate plan evaluation and follow-up.

关键词： air-bone interface arc therapy model-based algorithm radiation oncology stereotactic body radiation therapy

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Multi-leak Localization in Liquid Pipelines 27

Multi-leak Localization in Liquid Pipelines

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27th Iranian Conference on Electrical Engineering (ICEE)

作者： Goudarzi, Ahmadreza Haeri, Mohammad Islamic Azad Univ MEC Dept Tehran Iran Sharif Univ Technol EE Dept Tehran Iran

ISBN: (纸本)9781728115085

A model-based algorithm is proposed and tested using the simulator and operation data of a plastic pipeline prototype to locate multiple non-simultaneous leaks in the pipeline. A combination of an extended Kalman filter and obtained relations from the steady state response is used in order to tackle the problem of multi-leak localization. To achieve the mentioned relations, a real pipe with two leaks is equated to a virtual pipe with a single virtual equivalent leak.

关键词： model-based algorithm multiple non-simultaneous leaks equivalent leak

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ACCURACY IN IMAGE MEASURE

ACCURACY IN IMAGE MEASURE

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3rd Conference on Videometrics

作者： BRAND, P MOHR, R LIFIA INRIA RHONES ALPESF-38031 GRENOBLEFRANCE

ISBN: (纸本)0819416851

The aim of this paper is to show how image points can be extracted accurately. We will restrict our search to specific points identified by corners, which are stable given a sequence. Our approach makes us of a model-based corner detector. It matches a part of the image containing a corner against a predefined corner model. Once the fitting is accomplished, the position of the corner in the image can be deduced by the knowledge of the corner position in the image. The validity of our approach has been proven with 4 independent tests. It is shown that the accuracy which can be achieved is 1/10th of a pixel.

关键词： EXTRACTION OF CORNERS model-based algorithm ACCURATE LOCATION

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