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共 517 条记录，以下是51-60 订阅

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Acoustic Emission Signal Processing Based on Polynomial Filtering Method

Acoustic Emission Signal Processing Based on Polynomial Filt...

引用

2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

作者： Altay, Yeldos A. Fedorov, Aleksey V. Stepanova, Ksenia A. Faculty Control Systems and Robotics Itmo University St. Petersburg Russia

ISBN: (纸本)9781665409933

This article presents the results of acoustic emission signal processing based on the method of polynomial filtering. Butterworth polynomials are used to approximate the proposed filter. Extraction of the information signals components and noise, as well as studying their frequency response is proposed to use the method of bi-directional processing of measurement data. The efficiency proposed signal processing method is analyzed and, on the basis of quantitative indicators, its effectiveness for noise-reducing is analyzed. The effectiveness of the polynomial filtration method is demonstrated by experimental results of acoustic emission signal processing. © 2022 IEEE.

关键词： Signal to noise ratio

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Adaptive control of an Uncertain Differential Drive Robot 8

Adaptive Control of an Uncertain Differential Drive Robot

引用

8th International Conference on control Science and systems Engineering, ICCSSE 2022

作者： Chen, Zhiqiang Liao, Duzhesheng Krasnov, Aleksandr Y. Itmo University Faculty of Control Systems and Robotics St. Petersburg Russia

ISBN: (纸本)9781665484138

This paper proposes an adaptive trajectory tracking control scheme for differentially driven robots in the state of unknown kinematic and dynamic model parameters and uncertain external disturbances. The main idea is to design an adaptive controller to reduce the influence of unknown dynamic parameters and unknown parameters of the kinematic model. A kinematic controller is first designed to generate virtual velocities as reference inputs for dynamic control systems. The kinematic controller is then designed so that the actual velocity tracks the virtual velocity asymptotically. The robot can reach the expected speed and let the attitude error converge quickly. This approach enables the robot to quickly follow the desired trajectory. Finally, the effectiveness of the method is proved by MATLAB simulation. © 2022 IEEE.

关键词： Robots

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Acoustic Emission Signal Filtering Methods for Identifying Associations Between Diagnostic Parameters of Two Milling Cutter: Experimental Data

Acoustic Emission Signal Filtering Methods for Identifying A...

引用

2022 International Conference on Electrical Engineering and Photonics, EExPolytech 2022

作者： Altay, Yeldos A. Fedorov, Aleksey V. Stepanova, Ksenia A. Kuzivanov, Dmitry O. Itmo University Faculty Control Systems and Robotics St. Petersburg Russia

ISBN: (数字)9781665490306

ISBN: (纸本)9781665490306

Identification of association between diagnostic parameters of AE signals is an important task of nondestructive testing. This article presents the results of applying the previously developed polynomial filtering method for processing AE signals. The operability of this filtering method was analyzed based on 120 noisy AE signals. It has been established that, on average, the filtering method increases the signal-to-noise ratio up to 10 dB and identify a statistically significant association between the diagnostic parameters of a defective and defect-free instrument. © 2022 IEEE.

关键词： Cutting tools

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Fault Detection in Electric Drives Based on LSTM Autoencoder Model Machine Learning Approach 25

Fault Detection in Electric Drives Based on LSTM Autoencoder...

引用

25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Demidova, Galina Privalov, Daniil Semenov, Denis Lukichev, Dmitry Liu, Zhitao Anuchin, Alecksey Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Department of Electric Drives Moscow Power Engineering Institute Moscow Russia

ISBN: (纸本)9798350389234

Fault detection in electric drives is crucial for ensuring operational reliability and minimizing downtime. This paper provides a brief overview of the methods based on machine learning used for fault detection in electric drives. Additional this research presents a machine learning approach that utilizes the Long Short-Term Memory Autoencoder model for fault detection deal with bearing faults. A flowchart illustrating the implementation steps of the Long Short-Term Memory Autoencoder algorithm is included. Additionally, a case study on bearing faults in an electric drive system is presented to demonstrate the advantage of the proposed approach. By training the Long Short-Term Memory Autoencoder on operational data, accurate prediction of bearing faults is achieved, enabling timely maintenance interventions. It is shown that in the 7th epoch of training, the model achieved a notably high accuracy more than 99%. The results highlight the potential of Long Short-Term Memory Autoencoder models as a valuable tool for fault detection in electric drives, thereby improving system reliability and performance. © 2024 IEEE.

关键词： Machine learning

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Application of Machine Learning Methods for Production Data Analysis

Application of Machine Learning Methods for Production Data ...

引用

2025 International Russian Smart Industry Conference, SmartIndustryCon 2025

作者： Volkov, Igor Andreev, Yuri ITMO University Faculty of Control Systems and Robotics Saint-Petersburg Russia

ISBN: (纸本)9798331511241

Ensuring the quality of CNC-machined parts is a challenging task in modern manufacturing due to frequent shifts in production conditions and the high costs of traditional inspection methods. In this study, we propose a data-driven approach that integrates machine learning (ML) models with statistical acceptance sampling to dynamically optimize quality control processes. Production data from ERP, MES, and IIoT systems were analyzed with Gradient Boosting model. By continuously retraining the model on newly completed batches, the system adapts to evolving conditions, maintaining predictive accuracy. A key innovation of this work is the timely adjustment of sampling parameters (e.g., sample size, acceptance number) according to predicted defect levels. This adaptive strategy conserves inspection resources when defect risks are low and intensifies monitoring when risks are high. The results demonstrate a marked reduction in inspection costs and a robust capacity to detect defects promptly, aligning with industry goals of minimizing scrap and rework. Overall, this study validates the effectiveness of applying machine learning methods to production data analysis, laying a foundation for future enhancements in adaptive, proactive quality control systems. © 2025 IEEE.

关键词： Model predictive control

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Signal Processing for Acoustic Emission Signature Analysis and Defect Detection 26

Signal Processing for Acoustic Emission Signature Analysis a...

引用

26th International Conference on Digital Signal Processing and its Applications, DSPA 2024

作者： Altay, Yeldos A. Kuzivanov, Dmitry O. Altay, Dinara A. Fedorov, Alexey V. Satbayev University Department of Robotics and Technical Means of Automation Almaty Kazakhstan ITMO University Faculty of Control Systems and Robotics Saint-Petersburg Russia Military Engineering Institute of Radio Electronics and Communications Department of Natural Sciences Almaty Kazakhstan

ISBN: (纸本)9798350361728

This article presents the results of implementing a digital signal processing method for analyzing the acoustic emission (AE) signature and detecting defects such as cracks and pores. The signal processing method is based on a cascade connection of digital high-pass filters and ensures the selection of informative signals and increases the signal-to-interference ratio. In order to control the formation of defects in the process of selective laser melting, the paper presents the results of experimental testing of the cascade filtration method for detecting defects in the internal structure such as cracks and pores. The signal components recorded during the development of defects during the growth of additive manufacturing products were extracted. AE signatures were analyzed and statistical relationships were assessed. The relationship between the parameters of the AE signal and the values of laser radiation power has been identified, which characterizes the process of defect formation. © 2024 IEEE.

关键词： High pass filters

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Application of Machine Learning Methods for Production Data Analysis

Application of Machine Learning Methods for Production Data ...

引用

International Russian Smart Industry Conference (SmartIndustryCon)

作者： Igor Volkov Yuri Andreev Faculty of Control Systems and Robotics ITMO University Saint- Petersburg Russia

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

关键词： Industries Adaptation models Technological innovation Data analysis Costs Process control Production Quality control Inspection Predictive models

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Optimization of Cylindrical Blades for Wind Turbine Based on Magnus Effect

Optimization of Cylindrical Blades for Wind Turbine Based on...

引用

2023 International Conference on Electromechanical and Energy systems, SIELMEN 2023

作者： Lukin, Aleksandr Demidova, Galina Lukichev, Dmitry Poliakov, Nikolai Anuchin, Alecksey ITMO University Faculty of Control Systems and Robotics Saint-Petersburg Russia Moscow Power Engineering Institute Electric Drives Department Moscow Russia

ISBN: (纸本)9798350315240

Wind turbines based on the Magnus effect open new prospects in terms of energy generation for areas with low average wind speeds. The main feature of these turbines is rotating cylinders which are used to create lift instead of blades. Due to this unconventional design, different parameters of the cylinder, such as mass and moment of inertia, can greatly affect the dynamic characteristics of such energy systems. The goal of this paper was to present an approach to structural optimization of a cylinder flange of the experimental Magnus effect-based wind turbine. The proposed approach, presented as an algorithm, allows us to determine input data for the preferred structural optimization software and achieve lightweight, low-inertia parts. control simulation has shown that optimized parts ensure a high enough factor of safety while also significantly reducing the moment of inertia. © 2023 IEEE.

关键词： Finite element method

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Water Indicator Measurement and Data Processing From Internet of Things Modules

Water Indicator Measurement and Data Processing From Interne...

引用

2024 International Conference on Electrical Engineering and Photonics, EExPolytech 2024

作者： Altay, Yeldos A. Bazarbay, Lashin Uskenbayeva, Raisa K. Fedorov, Alexey V. Kalpeyeva, Zhuldyz B. Satbayev University Department of Robotics and Technical Means of Automation Almaty Kazakhstan Satbayev University Almaty Kazakhstan Itmo University Faculty of Control Systems and Robotics Saint-Petersburg Russia Satbayev University Institute of Automation and Information Technologies Almaty Kazakhstan

ISBN: (纸本)9798350388879

This article presents the results of the implementation of a measuring system based on an IoT module for remote transmission of aggregate measurement data obtained during analytical monitoring of five water parameters via a wireless communication channel. A model of an experimental setup is presented and discussed, demonstrating the operability and consistency of the model for monitoring physical parameters during aggregate measurements. The obtained results of remote data transmission via a wireless communication channel revealed a statistically significant correlation between spring water parameters and the most influential predictor of acidity, conductivity, turbidity and oxidation-reduction potential is water temperature. The discovered relationship between the measured parameters is mainly associated with the effect of temperature on the processes occurring with an increase and decrease in the temperature of the analyzed water samples. © 2024 IEEE.

关键词： Data transfer

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Analog, Programmable Switched Capacitor FIR Filter Based on Rotator Architecture Implemented in CMOS Technology 26

Analog, Programmable Switched Capacitor FIR Filter Based on ...

引用

26th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2023

作者： Pawlowski, Pawel Dlugosz, Rafal Radkowski, Marek Watly, Mateusz Dabrowski, Adam Poznań University of Technology Division of Signal Processing and Electronic Systems Faculty of Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Poznań60-965 Poland Bydgoszcz University of Science and Technology Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz85-796 Poland

ISBN: (纸本)9798350304985

The paper presents project and its verification of a prototype integrated circuit containing an analog, programmable finite impulse response (FIR) filter, implemented in CMOS 350 nm technology. The structure of the filter is based on the switched capacitor technique. In circuits of this type, one of main challenges is an efficient implementation of filter coefficients, which result from several factors described in this work. When implementing such filters as programmable circuits, the values of their coefficients have to be limited to a selected range, i.e. a given resolution in bits. In the implemented prototype filter, the filter coefficients are represented by 6 bits in sign-magnitude notation, so they can take 63 different values only. In such filters, it is not possible to directly implement any frequency response of the filter. Each time, it is necessary to properly round the theoretical values of the coefficients so that they fit into the available range of discrete values resulting from the implementation. The authors of the work designed an algorithm that allows such matching. The paper also presents results of measurements of the prototype chip. © 2023 Division of Signal Processing and Electronic systems, Poznan University of Technology (DSPES PUT).

关键词： FIR filters

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