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Interpreting Industrial IoT Data Streams Through Fuzzy Querying With Hysteretic Fuzzy Sets on Apache Kafka

IEEE Transactions on Fuzzy systems 2024年第8期32卷 4671-4684页

作者： Bożena Małysiak-Mrozek Bartłomiej Ryba Marek Molęda Che-Lun Hung Witold Pedrycz Weiping Ding Dariusz Mrozek Department of Distributed Systems and Informatic Devices Silesian University of Technology Gliwice Poland Department of Applied Informatics Silesian University of Technology Gliwice Poland Institute of Biomedical Informatics National Yang Ming Chiao Tung University Taipei City Taiwan Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Department of Measurements and Control Systems Silesian University of Technology Gliwice Poland Research Center of Performance and Productivity Analysis Istinye University Istanbul Türkiye School of Artificial Intelligence and Computer Science Nantong University Nantong China Faculty of Data Science City University of Macau Macau China

In industrial settings, querying data streams from Internet of Things (IoT) devices benefits from utilizing elastic criteria to enhance the interpretability of the current state of the monitored environment. Fuzzy sets provide this elasticity, enabling the aggregation and representation of similar values in a human-comprehensible manner. However, many sensor signals exhibit temporal oscillations, leading to varying interpretations of the signal based on its current trend (rising or falling). This hysteresis in signal (and subsequently of the production device) interpretation inspired us to introduce this phenomenon into data stream processing, resulting in the novel concept of hysteretic fuzzy sets. This article demonstrates how fuzzy searching and grouping can be applied to IoT sensor signals in flexible Big Data stream processing on Apache Kafka. We illustrate the impact of data stream querying with KSQL queries involving fuzzy sets (encompassing fuzzy filtering of data stream events, fuzzy transformation of data stream attributes, fuzzy grouping, and joining) on the flexibility of executed operations and computational resources utilized by the Kafka processing engine. Finally, our experiments with hysteretic fuzzy sets while analyzing sensor signals in power plants demonstrate that this novel approach effectively reduces the number of alarms while monitoring the state of the production machine.

关键词： Streams Fuzzy sets Internet of Things Big Data Monitoring Production Real-time systems

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Minimum structural sensor placement for switched linear time-invariant systems and unknown inputs

arXiv

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arXiv 2021年

作者： Reed, Emily A. Ramos, Guilherme Bogdan, Paul Pequito, Sérgio Ming Hsieh Electrical and Computer Engineering Department University of Southern California United States Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Portugal University of Southern California Ming Hsieh Electrical and Computer Engineering Department Delft University of Technology Delft Center for Systems and Control

In this paper, we study the structural state and input observability of continuous-time switched linear time- invariant systems and unknown inputs. First, we provide necessary and sufficient conditions for their structural state and input observability that can be efficiently verified in O((m(n + p))2), where n is the number of state variables, p is the number of unknown inputs, and m is the number of modes. Moreover, we address the minimum sensor placement problem for these systems by adopting a feed-forward analysis and by providing an algorithm with a computational complexity of O((m(n + p) + α)2.373), where α is the number of target strongly connected components of the system's digraph representation. Lastly, we explore different assumptions on both the system and unknown inputs (latent space) dynamics that add more structure to the problem, and thereby, enable us to render algorithms with lower computational complexity, which are suitable for implementation in large-scale systems. Copyright © 2021, The Authors. All rights reserved.

关键词： Time varying control systems

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Design and Analysis of a Novel Generalized Continuous Tracking Differentiator

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Ain Shams engineering Journal 2022年第4期13卷

作者： Abdul-Adheem, Wameedh Riyadh Ibraheem, Ibraheem Kasim Humaidi, Amjad J. Alkhayyat, Ahmed Maher, Rami A. Abdulkareem, Ahmed Ibraheem Azar, Ahmad Taher University of Baghdad College of Engineering Department of Electrical Engineering Baghdad Al-Jadriyah10001 Iraq Department of Computer Engineering Techniques Al-Rasheed University College Baghdad 10001 Iraq University of Technology Department of Control and Systems Engineering 10001 Baghdad Iraq College of technical engineering The Islamic University Najaf Iraq Faculty of Engineering Isra Univ. P.O. Box 33 Amman11622 Jordan College of Computer and Information Sciences Prince Sultan University Riyadh11586 Saudi Arabia Faculty of Computers and Artificial Intelligence Benha University Benha15311 Egypt

In this work, an n-th order Generalized Tracking Differentiator (GTD) is proposed based on sigmoid function with a continuous structure, including both linear and nonlinear parts, thus increasing the estimation accuracy of the input signal and its derivatives, and overcoming the inherent issues related to the classical Tracking Differentiators (TDs). Then, a 2nd-order version of the proposed GTD is derived and optimized with further improvements which are reflected in the excellent behavior in the time and frequency domains. Moreover, stability analysis using the method of Lyapunov analysis is also investigated and the performance of the GTD is proven in the time and frequency domains and revealed that the proposed GTD considerably reduces the "peaking phenomenon" and "noise" and eliminates the "chattering phenomenon" from the signal derivatives. The excellent results of the proposed GTD are demonstrated through simulations on noise-free and noisy signals and compared with the Robust Exact Uniformly Convergent Arbitrary Order Differentiator (REUCAOD). © 2021 faculty of engineering, Ain Shams University

关键词： Tracking differentiator Sigmoid function Peaking phenomenon Noise Chattering phenomenon Signal derivative

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Comparison of Synchronous Reluctance Machine and Permanent Magnet-Assisted Synchronous Reluctance Machine Performance Characteristics 27

Comparison of Synchronous Reluctance Machine and Permanent M...

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27th International Workshop on Electric Drives: MPEI department of Electric Drives 90th Anniversary, IWED 2020

作者： Heidari, Hamidreza Andriushchenko, Ekaterina Rassolkin, Anton Kallaste, Ants Vaimann, Toomas Demidova, Galina L. Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia ITMO University Faculty of Control Systems and Robotics St. Petersburg Russia

ISBN: (纸本)9781728141589

Since the dominant induction machines and permanent magnet synchronous machines are well-established in the industry, the reluctance machines require more research work and investigation to substitute the conventional technologies. This paper analyzes the synchronous reluctance machines and permanent magnet-Assisted synchronous reluctance machines in terms of the effect of permanent magnets in the model and the performance characteristic of the machines. The machines are designed and the parameters are measured. The vector diagrams of the machines and the equivalent circuits of the machines are analyzed. A comparison of the machines in terms of power factor, efficiency, and torque of the machines is provided based on the measurements. The study presents a notable improvement in power factor and efficiency in the case of inserting permanent magnets in the synchronous reluctance machine's rotor. © 2020 IEEE.

关键词： Permanent magnets

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Main Faults and Diagnostic Possibilities of BLDC Motors 27

Main Faults and Diagnostic Possibilities of BLDC Motors

引用

27th International Workshop on Electric Drives: MPEI department of Electric Drives 90th Anniversary, IWED 2020

作者： Kudelina, Karolina Asad, Bilal Vaimann, Toomas Rassolkin, Anton Kallaste, Ants Lukichev, Dmitri V. Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia ITMO University Faculty of Control Systems and Robotics St. Petersburg Russia

ISBN: (纸本)9781728141589

This paper presents the main faults of brushless DC motors and their diagnostic possibilities. Due to the popularity gain of such devices in the past decade, the maintenance and diagnostic of such machines is getting more important. As the machines are used in various applications, they are often critical parts of devices. Due to this, the unexpected failures of such machines are undesired and are to be avoided. The main faults of the machines are listed, some possibilities of their monitoring and diagnostics have been addressed. The necessity of further study has been pointed out. © 2020 IEEE.

关键词： Brushless DC motors

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Modem mechatronics and robotics education program: Border cooperation between estonia and Russia 11

Modem mechatronics and robotics education program: Border co...

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11th IEEE Global engineering Education Conference, EDUCON 2020

作者： Rassolkin, Anton Vaimann, Toomas Kudelina, Karolina Demidova, Galina L. Lukichev, Dmitry V. Perepelkina, Svetlana Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia Itmo University Faculty of Control Systems and Robotics St. Petersburg Russia

ISBN: (纸本)9781728109305

The paper describes the interaction between Tallinn University of Technology (TalTech, Tallinn, Estonia) and ITMO University (St. Petersburg, Russia) based on recently signed agreement. The purpose of the agreement is to record the intention of TalTech and ITMO University to cooperate on implementing a double master's degree program, which involves confirmation of the master's educational level absorption and the award of master's degree and obtention of two diplomas, and to outline the organizational form, principles and terms of the implementation. The double degree Program is a two-year Master's program of 120 ECTS credit points. Its structure and content meets the requirements that both TalTech and ITMO University have established for their master's programs, in accordance with the government standards. Development and approval of the double degree Program is held by the Parties in accordance with the procedures established by them. This paper describes the procedure of implementation of a double-degree master program in mechatronics engineering. © 2020 IEEE.

关键词： engineering education

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Integration of ANN for Accurate Estimation and control in Wastewater Treatment

Integration of ANN for Accurate Estimation and Control in Wa...

引用

International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Andreea Elena Țîru Iulian Vasiliev Larisa Diaconu Ramon Vilanova Daniel Voipan Harsha Ratnaweera Department of Automatic Control and Electrical Engineering "Dunărea de Jos" University of Galaţi Galaţi Romania Department of Automation Systems and Advanced Control Research Autonomous University of Barcelona Barcelona Spain Department of Computer Science and Information Technology "Dunărea de Jos" University of Galaţi Galaţi Romania Faculty of Science and Technology (Realtek) Norwegian University of Life Sciences Ås Norway

The management of wastewater is a significant global concern that calls for innovative solutions to lessen its negative effects on the environment. Conventional techniques of treating wastewater need improvement in order to deal with newly discovered contaminants, which highlights the importance of providing precise estimates of process performance and resource requirements. The worsening water shortage situation requires a paradigm shift in which wastewater is viewed as a useful resource. It is possible to create an economy that is both sustainable and circular by treating and recycling wastewater, putting less pressure on freshwater supplies, and leaving as little of an environmental footprint as possible. This study investigates the use of Artificial Neural Networks (ANNs) as software estimators in the treatment of wastewater, with a particular emphasis on predicting ammonium concentrations in effluent. In order to deal with imbalanced time-series data, the research introduces innovative data pretreatment strategies. These techniques include a Sliding Window protocol, Data Normalization, and a K-Fold training scheme. This illustrates the potential of ANNs to revolutionize wastewater treatment procedures and drive developments in this field. The suggested method demonstrates higher performance when estimating pollutant concentrations, showing the ability of ANNs to do so.

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Possibilities of Changing the Transport Characteristics of the TEP70 Locomotive 27

Possibilities of Changing the Transport Characteristics of t...

引用

27th International Workshop on Electric Drives: MPEI department of Electric Drives 90th Anniversary, IWED 2020

作者： Rjabtsikov, Viktor Rassolkin, Anton Vaimann, Toomas Kallaste, Ants Lukichev, Dmitry V. Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia ITMO University Faculty of Control Systems and Robotics St. Petersburg Russia

ISBN: (纸本)9781728141589

The research concentrates on the modernization issues of diesel-electric passenger locomotives TEP70. There is number of TEP70 locomotives in Baltic region that are used very rarely by their direct application but may as well be usable as freight locomotives. The main goal of the study is to change the tractive force of a TEP70 locomotive to be able to transport cargo in the Baltic region. Analysis of TEP70 working principles and load characteristics are presented. Based on the analytical model of locomotive, suggestion to replace the gearbox to increase locomotive pulling capability is proposed. Moreover, the paper presents calculation of the traction effort of TEP70. That kind of calculations are very important for motion planning and it should be done in order to avoid overloading during the working mode of the locomotive. © 2020 IEEE.

关键词： Engines

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Simulation of Wind Turbine Vibrations 27

Simulation of Wind Turbine Vibrations

引用

27th International Workshop on Electric Drives: MPEI department of Electric Drives 90th Anniversary, IWED 2020

作者： Andriushchenko, Ekaterina Kallaste, Ants Vaimann, Toomas Rassolkin, Anton Heidari, Hamidreza Demidova, Galina L. Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia ITMO University Faculty of Control Systems and Robotics St. Petersburg Russia

ISBN: (纸本)9781728141589

In recent years, there has been an increasing interest in renewable energy. Particularly, wind energy is gaining more and more popularity in many countries. However, the main obstacles to wind turbines usage are the vibration and noise close to wind farms. Therefore, this paper is focused on developing a new method for mathematical simulation of vibrations of a wind turbine in order to find out and reduce the vibration level. Particularly, low-frequency vibration of a wind turbine, composed of a tower and rotor in the out-of-balance condition is considered. The proposed method of vibration simulation is based on the theory of elastic beams and the general vibration theory. The calculations are made for a wind turbine VTR 50 Arctic. The results of the calculations are the displacement of the tower top and the stress at the tower foundation. Furthermore, it is worth emphasizing that the method is quite flexible. It allows adding complexity into the system, for instance, external loads such as wind pressure, aerodynamic loads, seismic loads or operational loads. © 2020 IEEE.

关键词： Wind power

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Constructive barrier feedback for collision avoidance in leader-follower formation control

arXiv

引用

arXiv 2023年

作者： Tang, Zhiqi Cunha, Rita Hamel, Tarek Silvestre, Carlos Institute for Systems and Robotics Instituto Superior Técnico Universidade de Lisboa Portugal Division of Decision and Control Systems KTH Royal Institute of Technology Sweden I3S-CNRS Université Côte d'Azur Institut Universitaire de France France Department of Electrical and Computer Engineering The Faculty of Science and Technology The University of Macau China

This paper proposes a novel constructive barrier feedback for reactive collision avoidance between two agents. It incorporates this feature in a formation tracking control strategy for a group of 2nd-order dynamic robots defined in three-dimensional space. Using only relative measurements between neighboring agents, we propose an elegant decentralized controller as the sum of a nominal tracking controller and the constructive barrier feedback for leader-follower formations under a directed single-spanning tree graph topology. The key ingredient is the use of divergent flow as a dissipative term, which slows down the relative velocity in the direction of the neighboring robots without compromising the nominal controller's performance. Compared to traditional barrier function-based optimization controllers, the proposed constructive barrier feedback avoids feasibility issues and results in more computationally efficient control algorithms with systematic equilibrium analysis. Simulations are provided to validate the effectiveness of the proposed control method. © 2023, CC BY-NC-ND.

关键词： Collision avoidance

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