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Intermittent fault diagnosis based on EMD decomposition and convolutional neural network 2

Intermittent fault diagnosis based on EMD decomposition and ...

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2nd IEEE International Conference on Electrical, Automation and Computer Engineering, ICEACE 2024

作者： Peng, Yu Liu, Yuhang Lin, Ruishi Xiang, Gang Wang, Shenhang Yang, Zhiming Beijing Aerospace Automatic Control Institute Department of System Engineering Beijing China Harbin Institute of Technology School of Electronics and Information Engineering Harbin China

ISBN: (纸本)9798350368208

The paper introduces an intermittent fault diagnosis method for analog circuits using EMD and CNN. The proposed method obtains the circuit output characteristics under different intermittent fault type using SPICE simulation. Then, EMD is used to extract the features and finally, the CNN model for fault detection and localization is built. The effectiveness of the method is validated through experiments in a three-phase SVPWM circuit. © 2024 IEEE.

关键词： Convolutional neural networks

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Module for 3D Visualization of the Technological Process of Parts automatic Sorting controlled by SoftPLC

Module for 3D Visualization of the Technological Process of ...

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2023 International Russian Automation Conference, RusAutoCon 2023

作者： Nikishechkin, P.A. Tonkikh, P.D. Moscow State University of Technology "STANKIN" Computer Control Systems Department Moscow Russia

ISBN: (纸本)9798350345551

The article considers an approach to 3D visualization of technological processes controlled by a software-implemented controller (SoftPLC). The technological process of automatic sorting of parts on the conveyor is considered and the PLC program for process control is presented. A block diagram of the interaction between a software-implemented controller and a 3D visualization module is presented, which allows visualization of technological processes and training of specialists in the field of industrial automation. The aspects of the implementation of a software module for visualization of the technological process of automatic sorting on a conveyor belt are considered. © 2023 IEEE.

关键词： controllers

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Performance Li-Fi Indoor Positioning systems using RSS-Triangulation Method 2

Performance Li-Fi Indoor Positioning Systems using RSS-Trian...

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2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022

作者： Salman, Kawther D. Hamza, Ekhlas K. University of Technology Department of Control and Systems Engineering

ISBN: (纸本)9781665400527

This To solve the problems of low positioning accuracy and longtime consumption in terms of the indoor visible light 3D positioning system, which realizes many sensors or complex hybrid algorithm, it is generally believed that an indoor positioning system using Li-Fi (Light) Fidelity is one of the solutions Most cost-effective with light-emitting diode (LED). In our work, we designed a simulation data of positioning based on the 3D internal environment of the Li-Fi system. The proposed method was implemented on the Matlab system to simulate the sensor that calculates the location error within the triangulation method, as it is one of the methods of intrusion prevention that make the system achieve high resistance to interference and high accuracy in positioning to involved with the method of receiving signal strength (RSS) and under the influence of noise based on Li-Fi channel model for the user location and data simulation. In the simulation results for the proposed method, the power and accuracy of the RSS-triangulation method in calculating the position were determined as indicating that the average positioning error distance 7.40906 10-12 for the x-axis, 1.63589 10-11 for the y-axis, and 1.77499 10-9 for on the z-axis for the indoor environment 5m x 5m x 3m. © 2022 IEEE.

关键词： Indoor positioning systems

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Multi-Agent Reinforcement Learning for railway rescheduling 17

Multi-Agent Reinforcement Learning for railway rescheduling

引用

17th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2023

作者： Kovari, Balint Balogh, Csanad L. Aradi, Szilard Budapest University of Technology and Economics Department of Control for Transportation and Vehicle Systems Budapest Hungary

ISBN: (纸本)9798350321104

Malfunctions, congestions, and accidents occur in every railway system from time to time, which influences the railway traffic on a given section of the system. The disturbance may cause inconvenience for several passengers and disruption in rail freight. Both the schedule and route of the affected trains must be modified to avoid further congestion and minimalize delays. The rigidity of the railway system (e.g., single tracks, vast distances without a service station, no viable alternative in case of malfunction) poses restrictions, unlike other transportation systems. Replanning schedules and train routes (called the railway rescheduling problem) is complex and demanding, even for human operators, as one must consider numerous factors. Thus, finding a satisfying solution poses a significant challenge. This paper presents a MARL-base (Multi-Agent Reinforcement Learning) solution that shows great potential for tackling this problem, even in the case of multiple connected stations. © 2023 IEEE.

关键词： Railroads

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How transformations of representation for input data can affect the properties of induced decision reducts and rules 27

How transformations of representation for input data can aff...

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27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Stanczyk, Urszula Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland

Decision reducts and rules belong to forms used for the representation of knowledge learnt from input data while using a rough set approach in the exploration stage. As with any patterns that capture properties of data, the size is considered as the most important indicator of their quality, as a more general and concise description allows for improved understanding and simplified interpretation. The size of a reduct is given by its cardinality, and for a rule it is a number of included conditions, both referred to as lengths. These lengths undergo transformations along with data transformations, so such processing as discretisation leads to changed characteristics of existing patterns and through them also reducts and rules. The paper presents research with contributions in the observations focused on the influence of supervised and unsupervised discretisation on properties of attributes, induced decision reducts, and rules, offering a deeper insight into relations among them. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Data exploration decision reduct decision rule discretisation knowledge representation rough set theory transformation

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Smartwatch-Based Human Staff Activity Classification: A Use-Case Study in Internal Logistics systems Utilizing AGVs

Smartwatch-Based Human Staff Activity Classification: A Use-...

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2024 IEEE International Conference on Big Data, BigData 2024

作者： Pavliuk, Olena Mishchuk, Myroslav Lviv Polytechnic National University Department of Automated Control Systems Lviv Ukraine Silesian University of Technology Department of Distributed Systems and Informatic Devices Gliwice Poland

ISBN: (纸本)9798350362480

Recent advancements in the domain of human activity recognition (HAR) are increasingly aimed at developing methodologies, approaches, and models for real-time, multi-step activity recognition and analysis. This work presents a smartwatch-based approach for complex, real-time HAR that is applicable but not limited to internal logistics systems that use autonomous guided vehicles. A distributed smartwatch-based data collection system was developed, and a dataset was gathered and published, containing readings from human staff representatives executing activity sequences representing typical internal logistics tasks. A HAR-specific, pre-trained DenseNet121 was used for basic activity classification, achieving an F1-score of 91.01%. For multi-step activity classification, we compared models based on CNN, LSTM, BiLSTM, GRU, and BiGRU as meta-classifiers, employing different dataset-splitting strategies and models' configurations. The best-performing CNN-based model achieved an F1-score of 87.44% using the shared dataset utilization approach. Despite the challenges faced, the adaptability of the proposed approach suggests that it can be integrated into an intelligent enterprise management system to provide a robust and flexible HAR framework that enhances production efficiency. © 2024 IEEE.

关键词： Enterprise resource management

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A Contact-Aided Model for Soft Continuum Robots Moving in Unstructured Environment

A Contact-Aided Model for Soft Continuum Robots Moving in Un...

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2024 China Automation Congress, CAC 2024

作者： Jingyu, Zhang Qin, Fang Mingjian, Sun Rong, Xiong Wang, Yue Haojian, Lu School of Information Science and Engineering Harbin Institute of Technology Weihai China Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Department of Control Science and Engineering Harbin Institute of Technology Heilongjiang China

ISBN: (纸本)9798350368604

Due to their inherent flexibility and high human-computer interaction potential, soft continuum robots have been developed and popularized in industrial and medical scenarios. However, when moving in an unstructured environment, the contact with environment will change the configuration parameters of the robot, which brings problems to the control. Aiming at improving the control performance of soft continuum robots in an unstructured environment, a contact-aided model is proposed to estimate the varying configurations of the robot. Besides, a model-based controller is proposed to control the robot in an unstructured environment. To verify the performance of the proposed method, a small-scale soft continuum robot is designed and fabricated. Through the characterization experiment, the robot shows a large workspace by changing the contact position, and the kinematic model is verified. Through the trajectory tracking experiment, the robot showed good accuracy, with an average error of 1.2mm. Through an exploration experiment in the unstructured environment, the robot showed good control effect, with an average error of 1.9mm. This work enhances the application capability of the soft continuum robots in unstructured environments. © 2024 IEEE.

关键词： Microrobots

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Should supervised discretisation always be trusted unreservedly? On combining characteristics of supervised and unsupervised discretisation algorithms in two-step processing 27

Should supervised discretisation always be trusted unreserve...

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27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Stanczyk, Urszula Baron, Grzegorz Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland

The paper presents a description of the research methodology dedicated to a two-step discretisation process applied to the input numeric data, with combining the characteristics of selected supervised and unsupervised algorithms, which leads to extended processing of some attributes in train and test sets. The methodology was illustrated with the investigations carried out in the domain of stylometric analysis of texts, for two datasets prepared for the task of binary authorship attribution. The several variants of transformed input data obtained were subjected to exploration using two selected machine learning methods capable of inducing knowledge from both continuous and categorical forms, namely the PART and J48 classifiers. The results from the experiments indicate that, as can be expected, supervised transformations of data work well enough, however, they do not always return the best outcome. The two-step processing of some attributes shows sufficient promise to warrant a closer study, as opposed to always unconditionally relying only on supervised algorithms as outperforming all other approaches. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Authorship attribution Data representation Pattern recognition Stylometry Supervised discretisation Unsupervised discretisation

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IMPROVING HYDRODYNAMIC PERFORMANCE OF AN ASYMMETRIC TOWFISH USING CFD

IMPROVING HYDRODYNAMIC PERFORMANCE OF AN ASYMMETRIC TOWFISH ...

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ASME 2024 International Mechanical Engineering Congress and Exposition, IMECE 2024

作者： Bhosale, Yugandhara Sharma, Atul Gupta, Abhishek Vachhani, Leena Department of Mechanical Engineering Indian Institute of Technology Bombay Mumbai India Department of Systems and Control Engineering Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9780791888667

A towfish is a passive underwater vehicle that is towed behind a surface vessel. The towfish is often designed to be symmetric from all directions primarily to achieve balanced hydrodynamic behaviour and foreseeable manoeuvrability under water. External attachments or extruded slots can induce asymmetry, which will have an effect on the hydrodynamic behaviour. An asymmetric towfish will experience an uneven distribution of hydrodynamic forces and moments. This will lead to unstable orientation and unpredictable hydrodynamic behaviour. So, the effect of asymmetry on hydrodynamic coefficients like drag coefficients, lift coefficients, pitching moment coefficients and overall stability are investigated in this paper and improved with design modification in towfish. We evaluated these hydrodynamic coefficients of the asymmetric towfish and proposed a redesign strategy. In this work, the significant parts of towfish, like the nose and hull are redesigned to improve hydrodynamic performance. A three-dimensional (3D) simulation is carried out using in Ansys Fluent as a CFD software. To simulate the turbulence, the k-ω shear stress transport (SST) model is employed due to its good prediction capability at a reasonable computational cost. Drag reduction and lift increment are observed with modification and redesigning of the nose and hull to counter the increase in drag due to the asymmetricity of towfish. These results will help to enhance our understanding of the hydrodynamics behavior of the asymmetric nature of towfish. Copyright © 2024 by ASME.

关键词： Computational fluid dynamics

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On Sparse Nonlinear System Identification Using Orthogonal Matching Pursuit, Orthogonal Least Squares and LASSO

On Sparse Nonlinear System Identification Using Orthogonal M...

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Mediterranean Conference on control and Automation (MED)

作者： Hua-Liang Wei The Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield

ISBN: (数字)9798350395440

ISBN: (纸本)9798350395457

System identification, as a rich and vital discipline, provides a practical and general methodology and tool for quantitatively modelling the input-output relationships of dynamical systems. Sparse nonlinear system identification (SNSI), especially parametric sparse nonlinear system identification (PSNSI), is an important and vital field of research with a wide range of applications. This work is concerned with PSNSI and particular attention is paid to the assessment of three well-known mainstream sparse learning methods, namely, orthogonal least squares (OLS), orthogonal matching pursuit (OMP) and least absolute shrinkage and selection operator (LASSO). The performances of these methods are tested and evaluated through three case studies relating to PSNSI problems. The research results and findings of this work provide practical useful information and guidance for researchers to better choose or adapt methods when solving PSNSI problems.

关键词： Learning systems Automation Matching pursuit algorithms System identification Nonlinear systems Dynamical systems

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