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Auto-Adaptive Stator Ground Fault Protection for Synchronous Generators in Diesel-Electric Locomotives 14

Auto-Adaptive Stator Ground Fault Protection for Synchronous...

引用

14th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2023

作者： Mahtani, Kumar Guerrero, Jose M. Beites, Luis F. Platero, Carlos A. Universidad Politécnica de Madrid Automation Electrical and Electronic Engineering and Industrial Informatics Dept. Madrid Spain Mondragon Unibertsitatea Electronics and Computer Science Dept. Arrasate-Mondragon Spain Universidad Politécnica de Madrid Automation Electrical and Electronic Engineering and Industrial Informatics Department Madrid Spain

ISBN: (纸本)9798350320770

Diesel-electric locomotives are equipped with one or more synchronous generators driven by diesel engines, that provide the necessary electrical energy for their operation. These generators are usually provided with some protection relays, depending on their rated power and their type of service. Standard stator-ground fault protection has a setting for rated conditions. In case of variable speed and voltage operation, the protection does not cover all the operation range of the machine. In addition, unwanted tripping may occur due to incorrect filtering of the third harmonic. In this paper, an auto-adaptative stator ground protection function is presented, for the operation of synchronous machines at variable voltage and frequency. A specific case study is tackled, focused on the main generators of a diesel-electric locomotive. Numerous simulations are carried out to verify the proposed protection method. The obtained results are promising, and they can be used in other synchronous machines operating at variable speed. © 2023 IEEE.

关键词： Stators

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An Adaptive Multi-Stage Evolution Algorithm for High-Dimensional Expensive Problems

An Adaptive Multi-Stage Evolution Algorithm for High-Dimensi...

引用

2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Zhang, Boyuan Lai, Rui Gong, Guanghong Yuan, Haitao Yang, Jinhong Zhang, Jia School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Cssc Systems Engineering Research Institute Beijing China Southern Methodist University Dept. of Computer Science DallasTX75275 United States

ISBN: (纸本)9781665410205

Recently, many studies have used evolutionary algorithms (EAs) to optimize complex problems across various fields, including mechanical structure design, robotics, and cloud computing. EAs simulate the process of evolution to improve solutions to a given problem iteratively. However, EAs encounter significant challenges when dealing with high-dimensional expensive problems (HEPs). The large solution space and high computing cost of fitness evaluations (FEs) make optimization with limited FEs particularly difficult. To tackle this problem, an Adaptive Multi-stage Evolution Algorithm named AMEA is proposed. In AMEA, an adaptively enhanced teaching-learning-based optimization algorithm is adopted to explore the search space and find potential areas quickly. Then, in the next stage, the Gaussian process surrogate model and a genetic learning particle swarm optimization algorithm are adopted for further exploitation. Besides, this work proposes an adaptive stage switching criterion and an individual screening mechanism to enhance the optimization ability. AMEA demonstrates strong optimization performance when applied to HEPs. We compare AMEA with several state-of-the-art HEP optimization algorithms through seven benchmark functions, and the results show that it performs competitively with other algorithms. Finally, we also validate AMEA's effectiveness with a real-world computation offloading problem. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Multimodal Representation Learning:Cross-modality and Shared Representation

Multimodal Representation Learning:Cross-modality and Shared...

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2022 International Conference on Industry 4.0 Technology, I4Tech 2022

作者： Mohan, Paul Brilley, Batley C Kumar A. A, Nippun Amrita School of Engineering Dept. of Computer Science & Engineering Bengaluru India Ai and Automation Litmus 7 Kochi India

ISBN: (数字)9781665471961

ISBN: (纸本)9781665471961

Various kinds of Information retrieval or processing task can be difficult basis on how the information is viewed or represented. Representation learning is a technique that allows a system to discover the representation of the data which used for detecting features and classifying things. As compared with learning from one representation, learning from different representations make the task easier. For example, learning something from images and their texts or learning from video and their audio produces good results than learning from one source (either image or text)or (video or audio). Learning from multiple modalities helps to achieve the target correctly within short time. This paper tries to design a Multimodal Autoencoder with minimum loss that can produce shared representation of images and its texts © 2022 IEEE.

关键词： Learning systems

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Multivariate analysis of the influence of students' characteristics on academic performance 8

Multivariate analysis of the influence of students' characte...

引用

8th International Conference on Information Technology and Nanotechnology, ITNT 2022

作者： Pustovalova, Natalya Avdeenko, Tatiana Novosibirsk State Technical University Dept. Automation and Computer Engineering Novosibirsk Russia Novosibirsk State Technical University Dept. Applied Mathematics and Computer Science Novosibirsk Russia

ISBN: (数字)9781665485715

ISBN: (纸本)9781665485715

Modern universities, developing a digital environment, rely on a student-centric approach relevant to pedagogical and didactic practices. Personalization of the educational environment allows improving the quality of the educational process, raising it to a new level. This article presents the usage of multivariate modeling to identify common relationships and patterns between academic performance and psychometric characteristics. The study sample includes psychometric testing data of students from Novosibirsk State Technical University (NSTU), which determines cognitive, motivational and personal characteristics, and also data on their academic performance. The results obtained are further used for diagnostic and prognostic purposes to recommend educational content depending on the student's personality. © 2022 IEEE.

关键词： Students

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A New Robust Hybrid Active Noise Control System 8

A New Robust Hybrid Active Noise Control System

引用

8th International Conference on Signal and Image Processing, ICSIP 2023

作者： Wang, Z. Xiao, Y. Ma, Y. Ma, L. Khorasani, K. Prefectural University of Hiroshima Dept. of Management & Information Systems Hiroshima734-8558 Japan Institute of Automation Jiangnan University Wuxi214122 China Concordia University Dept. of Electrical & Computer Engineering Montreal Canada

ISBN: (纸本)9798350397932

The conventional hybrid active noise control (ANC, HANC) may significantly degrade if the reference signal for the feedforward ANC (FFANC) subcontroller consists of not only a broadband component but also a low-frequency sinusoidal component that is uncorrelated or partially correlated with the narrowband noise component that is attenuated by the feedback ANC (FBANC) subcontroller. In this paper, a new robust HANC system is proposed to mitigate the performance degradation resulting from the low-frequency sinusoidal component. A band-pass filter bank (BPFB) is applied to the FFANC reference signal to separate the low-frequency sinusoidal component from the broadband one and each of them is fed to an FFANC subcontroller that solely focuses on a single noise component. A supporting filter takes the extracted broadband component and the residual error as its input and desired signal, respectively. The same BPFB is then applied to the supporting filter error in order to separate the remaining low-frequency sinusoidal component from the narrowband component that persists in the residual error. The use of the two BPFBs and the supporting filter allows the three HANC subcontrollers to operate practically independently, each taking care of one of the pre-processed noise components which are uncorrelated with each other irrespective of the relationship between the two original noise sources. Extensive simulations are provided to demonstrate the improved effectiveness and robust capability of the proposed HANC as compared to its counterpart, even in a case that the low-frequency sinusoidal component in the FFANC reference signal is partially corrected with the primary narrowband noise component that is targeted by the FBANC. © 2023 IEEE.

关键词： Filter banks

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University's Educational Environment Personalization Based on the Ontological Models 23

University's Educational Environment Personalization Based o...

引用

23rd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2022

作者： Pustovalova, Natalya V. Avdeenko, Tatiana V. Pustovalova, Alexandra V. Novosibirsk State Technical University Dept. Automation and Computer Engineering Novosibirsk Russia Novosibirsk State Technical University Dept. Applied Mathematics and Computer Science Novosibirsk Russia

ISBN: (纸本)9781665498043

The paper presents a work in progress. Personalization of the educational environment allows improving the quality of the educational process, raising it to a new level. Our development is intended to diagnose and recommend educational content, depending on the students' personality. This article describes a system of ontological models (Learner Model, educational content model and cognitive functions model) designed to diagnose students' characteristics and the subsequent issuance of educational content, taking into account these characteristics. The learner model, implemented as a Protege ontology, is based not only on human professional experience but also on student testing results. This approach, based on the use of various IQ tests, allows reflecting in the ontology the dependencies identified due to linear regression methods, as well as other types of analysis. By this way we will reduce the dependence of the model on the human expert's personality and make it more objective. Using the Protege tools, we will combine three ontologies in the architecture of a personalized environment through rules and axioms. © 2022 IEEE.

关键词： Ontology

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Analysis of the Influence of Students' Identity on Academic Performance

Analysis of the Influence of Students' Identity on Academic ...

引用

2022 IEEE International Multi-Conference on engineering, computer and Information Sciences, SIBIRCON 2022

作者： Pustovalova, Natalya V. Avdeenko, Tatiana V. Novosibirsk State Techinal University Dept. Automation and Computer Engineering Novosibirsk Russia Novosibirsk State Techinal University Dept. Applied Mathematics and Computer Science Novosibirsk Russia

ISBN: (纸本)9781665464802

This paper presents the results of ongoing work. Today, personalization is one of the main trends in education. Universities collect and analyze data about the students' identity and their needs in order to develop specialized systems that support the personalization of the educational process. The purpose of the current work is to verify the applicability of the "Learner model"that was designed previously. This model is one of the main component of universities' intelligent learning system architecture. This model is based on the results of psychometric test. We increased the sample of students by including new observations and new predictors. Having performed preliminary data preparation, we obtained linear regression models. The results of psychometric tests were used as independent predictors (regressors). We tested students from the 2nd to 4th year of the Faculty of Applied Mathematics and Informatics. The dependent variable is the general ECTS score, as well as the average score for the groups of disciplines (mathematical, work-oriented, humanitarian). We compared the resulting models with those obtained using a smaller sample. In general, our conclusion was confirmed. © 2022 IEEE.

关键词： Students

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Federated TD Learning in Heterogeneous Environments with Average Rewards: A Two-timescale Approach with Polyak-Ruppert Averaging

Federated TD Learning in Heterogeneous Environments with Ave...

引用

IEEE Conference on Decision and Control

作者： Ankur Naskar Gugan Thoppe Abbasali Koochakzadeh Vijay Gupta Dept. of Computer Science and Automation Indian Institute of Science Bengaluru India Dept. of Electrical and Computer Engineering Purdue University IN USA

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

Federated Reinforcement Learning (FRL) provides a promising way to speedup training in reinforcement learning using multiple edge devices that can operate in parallel. Recently, it has been shown that even when these edge devices have access to different dynamic models, an optimal convergence rate that has a linear speedup proportional to the number of devices is achievable. However, this result requires that the stepsize in the algorithm be chosen in a manner dependent on the unknown model parameters. Also, it applies only to a discounted setting, which has been argued to fit episodic tasks better than continuing control tasks. In this paper, we obtain finite-time bounds for heterogeneous FRL with average rewards. We show that the optimal convergence rate with a linear speedup is possible even with a universal stepsize choice, independent of the underlying dynamics. To achieve our result, we modify the existing one-timescale FRL method to a novel two-timescale variant that additionally incorporates iterate averaging.

关键词： Training Q-learning Heuristic algorithms Temporal difference learning Complexity theory Function approximation Convergence

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Honey Badger Algorithm for Adjustment of FOPID Controller Adopted in An Automatic Voltage Regulator System

Honey Badger Algorithm for Adjustment of FOPID Controller Ad...

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2022 IEEE Global Energy Conference, GEC 2022

作者： Can, Ozay Ekinci, Serdar Izci, Davut Recep Tayyip Erdogan University Dept. of Electronics and Automation Rize Turkey Batman University Department of Computer Engineering Batman Turkey Batman University Dept. of Electronics and Automation Batman Turkey

ISBN: (数字)9781665497510

ISBN: (纸本)9781665497510

Automatic voltage regulator (AVR) system is a main control process to keep the terminal voltage of generator in power systems between the determined values. In this study, the optimal tuning of a fractional order PID controller used in an AVR system is proposed by using the optimization technique called honey badger algorithm (HBA). The transient response analysis of the HBA-FOPID, HBA-PID, and HBA-PI controllers were obtained by using the integral time-weighted squared error (ITSE) as the objective function. Then, the performance of the HBA tuned FOPID controller was compared with the performances of other controllers. It has been demonstrated that the FOPID controller provides remarkable performance compared to other controllers in terms of overshoot and settling time of the AVR system. © 2022 IEEE.

关键词： Voltage regulators

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Modified feedback narrowband active noise control with online secondary-path modeling 24

Modified feedback narrowband active noise control with onlin...

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24th International Congress on Acoustics, ICA 2022

作者： Ma, Yaping Xiao, Yegui Ma, Liying Khorasani, Khashayar Dept. of Automation Jiangnan University China Dept. of Information and Management System Prefectural University of Hiroshima Japan Dept. of Electrical and Computer Engineering Concordia University Canada

Feedback narrowband active noise control (NANC, FBNANC) systems have been developed to suppress sinusoidal noise signals generated by rotating machines such as diesel engines, fans, etc. They do not require any reference sensor and can avoid the frequency mismatch and the acoustic feedback, as compared with the conventional feedforward NANC (FFNANC) systems. In this paper, a modified FBNANC system is proposed which contains three subsystems, namely: 1) a cascade pre-filtered and parallelly updated adaptive notch filter bank (CPANFB) that is included to synthesize the reference sinusoidal signals for the FBNANC controller, 2) an online secondary-path modeling (SPM, OSPM) subsystem that is introduced into the new system to track the secondary-path changes, and 3) a bandpass filter bank that is applied to the residual noise for separating the remaining sinusoids from other broadband noise components, with the former utilized to scale the auxiliary white Gaussian noise (AWGN) for the purpose of reducing its contribution to the residual noise. The three subsystems including the MPA (magnitude and phase adjuster) based controller are seamlessly integrated to work in harmony such that the whole FBNANC system enjoys nice advantages in both convergence and noise reduction performance (NRP). Extensive simulations are conducted to demonstrate and confirm the effectiveness of the proposed system. © ICA *** rights reserved

关键词： adaptive notch filter bank (ANFB) Feedback narrowband active noise control (FBNANC) magnitude noise reduction performance (NRP) online secondary-path modeling (OSPM) phase adjuster (MPA)

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