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2022 International Ural Conference on Electrical Power Engineering, UralCon 2022

作者： Basova, Tatiana Vladimirovna Andreev, Yuri Sergeevich Basova, Maria Vladimirovna Itmo University Faculty of Control Systems and Robotics St. Petersburg Russia Baltic State Technical University «voenmeh» Named after D.F. Ustinov Faculty of Arms and Weapons Systems St. Petersburg Russia

ISBN: (数字)9781665466523

ISBN: (纸本)9781665466523

The paper deals with the issues of the cutting tools (CT) widespread control methodology using tool setters;the new CT active control method is also proposed. The manual operations are reduced by this methodology due to the automatic development of tool setters' programs via the CT database. The operation adaptation of computer numerical control (CNC) machines is provided by upgrading tool setters' functioning algorithms. Both the CNC machines production performance increasing and the required product workmanship achievement of machine-building as well as instrument-making production might be received through the new methodology application. The advantages of this methodology are, firstly, cost-effectiveness due to the use of standard CNC machines sensors and, secondly, exclusion of manual processing for measurement results. © 2022 IEEE.

关键词： Cutting tools

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The Development of the Cutting Tools and Toolholders Parameters Unified Database

The Development of the Cutting Tools and Toolholders Paramet...

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2023 International Russian Automation Conference, RusAutoCon 2023

作者： Basova, Tatiana V. Andreev, Yuri S. Basova, Maria V. Itmo University Faculty of Control Systems and Robotics St. Petersburg Russia Baltic State Technical University «voenmeh» Named after D.F. Ustinov Faculty of Arms and Weapons Systems St. Petersburg Russia

ISBN: (纸本)9798350345551

This paper deals with the consideration of the cutting tools and toolholders information data processing issues caused by the different representation of these tools by their manufacturers and users. This problem complicates the interactions between various software systems, thereby increasing the time required for technological production preparation. As a prospective solution to these problems, the cutting tools and toolholders parameters unified database (DB) has been developed. The proposed DB includes the necessary information for performing the key tasks in the technological production preparation regarding cutting tools and toolholders. The developed DB is based on the international standard ISO 13399 and the GTC (Generic Tool Catalog) format, as well as additional tool description parameters required to satisfy the production needs. Therefore, this research aims to improve the processes of technological production preparation and ensure the products manufacturing efficiency. © 2023 IEEE.

关键词： Standardization

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Design of a Computer Vision Algorithm for Surface Vessel Position Detection in a Laboratory Pool

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IFAC-PapersOnLine 2023年第2期56卷 4364-4367页

作者： Vladimir Sivtsov Alexander Ramos Sergei Shavetov Andrei Zhivitskii Oleg I. Borisov Anton A. Pyrkin Faculty of Control Systems and Robotics ITMO University St. Petersburg Russia

The growing availability of cameras and advancements in computers hardware that led to increase in computer performance make systems based on computer vision attractive because of its ease of setup and use but at the same time low economic expenses. There are many methods for object detection and recognition, image segmentation that are already in use in many practical applications such as face recognition, industrial production etc. Many of these use cases do not require the knowledge of the exact position of the object as detection methods usually provide axis-aligned bounding box. In order to get more precise borders of the object image segmentation methods could be used, but in some applications such as control systems based on computer vision it is necessary to not only know the exact position of the object, but also its direction. In this study the objective is to find the linear and angular direction of surface vessel using computer vision approach. The proposed methodology is capable of obtaining the center coordinates of the surface vessel as well as the direction the surface vessel is heading. Out findings indicate that this could be done based on just image processing and some transformations without the use of deep learning approaches thus avoiding the need to collect, annotate and clean data etc. The approach considered in this study is based on filtering, edge detection, dilation, contour tracing and Hough Transform.

关键词： surface vessel computer vision segmentation swimming pool Hough Transform

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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...

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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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Signal Processing for Acoustic Emission Signature Analysis and Defect Detection 26

Signal Processing for Acoustic Emission Signature Analysis a...

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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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Automated Ultrasonic Testing of Carbon-Carbon Composite Materials 7

Automated Ultrasonic Testing of Carbon-Carbon Composite Mate...

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7th International Conference on Information, control, and Communication Technologies, ICCT 2023

作者： Pavlukhin, Evgeniy A. Kinzhagulov, Igor Y. Fedorov, Alexey V. Omarov, Magomed A. Itmo University Faculty of Control Systems and Robotics ST Petersburg Russia Inst. of Science 'Engineering and Design Center for Support of the Operation of Space Technology ST Petersburg Russia

ISBN: (纸本)9798350340945

The quality of products made of carbon-carbon composite materials (CCCM) is influenced by many factors, including the parameters of the technological process and the technical level of equipment for the manufacture of materials and structures. One of the most important moments in the process of creating products from CCCM is the formation of reinforcing components, matrix and their structural bonds. The efficiency of the system of structural bonds depends on the homogeneity (heterogeneity) of the material structure. The required mechanical and thermal properties of CCCM are ensured by the uniformity (continuity) of the structure, the change of which affects the properties of the material as a whole. In the event of discontinuity, an uneven distribution of mechanical and thermal fields can occur, which will jeopardize the performance of the entire structure, so non-destructive testing (NDT) of CCCM is an important task. The ultrasonic shadow method of control was chosen as the NDT method. This method makes it possible to detect structural inhomogeneities in the material of the test object - accumulations of pores and microcracks (at the microlevel), cracks, zones of low density, local heterogeneity of the structure (at the macrolevel). This article discusses the automation and ultrasonic testing of products from CCCM. © 2023 IEEE.

关键词： Nondestructive examination

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Study of the Applicability of the Method of Optical Triangulation for Evaluation of the Geometric Parameters and Cleanliness of the Surface of Products of Complex Shapes 7

Study of the Applicability of the Method of Optical Triangul...

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7th International Conference on Information, control, and Communication Technologies, ICCT 2023

作者： Konyashov, Vyacheslav V. Sergeev, Alexey S. Kolganov, Oleg A. Fedorov, Alexey V. Konyashova, Kseniya A. Bychenok, Vladimir V. Itmo University Faculty of Control Systems and Robotics ST Petersburg Russia Scientific and Technical Center 'Etalon' ST Petersburg Russia Institution of Science 'IKCSEKT' ST Petersburg Russia

ISBN: (纸本)9798350340945

The results of experimental studies of the applicability of the method of optical laser triangulation for constructing the profile of conical and cylindrical products with a ribbed surface, made by milling, are reflected. An algorithm for constructing a geometric profile of products of complex shape based on a system of triangulation sensors is proposed. The results of experimental approbation of the proposed algorithm on the stand for automated control of the geometry of complex-profile parts using a laser triangulation 2-D scanner are presented. The sensitivity of a laser triangulation 2-D scanner to the roughness parameters during milling the surface of products is evaluated. The accuracy characteristics of the triangulation method for determining the surface roughness parameters for different orientations of laser radiation with respect to the test object are estimated. © 2023 IEEE.

关键词： Nondestructive examination

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Autonomous Navigation Algorithms Based on Cognitive Technologies and Machine Learning

Autonomous Navigation Algorithms Based on Cognitive Technolo...

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2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020

作者： Demidova, Kristina Logichev, Michail Zhilenkova, Elena Dang, Binh St. Petersburg State Marine Technical University Department of Marine Electronics Saint-Petersburg Russia ITMO University Faculty of Control Systems and Robotics Saint-Petersburg Russia

A research project to create an intelligent autonomous navigation system is being considered. The system is implemented on the basis of cognitive technologies and machine learning. The system makes a decision by analy... 详细信息

ISBN: (数字)9781728157610

ISBN: (纸本)9781728157610

关键词： Machine learning

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Analysis of fast prototyping of microcontroller-based ML software for acoustic signal classification 26

Analysis of fast prototyping of microcontroller-based ML sof...

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

作者： Marciniak, Filip Marciniak, Wojciech Marciniak, Tomasz Poznan University of Technology Faculty of Computing and Telecommunications Poznań60-965 Poland Poznan University of Technology DECYBEL Science Club Poznań60-965 Poland Poznan University of Technology Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Poznań60-965 Poland

ISBN: (纸本)9798350304985

The paper analyzes the preparation of software for acoustic signal classification with machine learning techniques for microcontrollers. The design process was tested for three types of devices: Nordic Thingy:53, *** and Arduino Nano 33 BLE Sense Lite. The classifier training process was carried out using the Edge Impulse platform. Experimental studies were carried out for the process of classifying sound signals generated by the vacuum cleaner motor. The results of the training and the model test were presented for different configurations. © 2023 Division of Signal Processing and Electronic systems, Poznan University of Technology (DSPES PUT).

关键词： Microcontrollers

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Computer Aided Layout Planning for Robot Assembly Applications

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IFAC Proceedings Volumes 1990年第3期23卷 159-164页

作者： M. Huck Institute for Real-time Computer Control Systems and Robotics Faculty for Informatics University of Karlsuhe Karlsruhe FRG

This paper presents ROSI-Layout, a computer aided planning system for the generation of suitable workcell layouts for robot assembly applications. The idea is to derive first the spatial transformations for the product parts, which lead to the assembly of the final product. A global database provides the product data and the precedence graph. This information comes from product design and assembly planning. The design of spatial transformations is derived from constraints given by the geometric shape of the product parts and from rules that define how assembly with robots should be accomplished. This is followed by the generation of a suitable layout. A layout can be developed that is specially designed for the product to be assembled. During the entire planning session, the database manages all planning data and ensures consisteny. ROSI-Layout is an extension of the RObot Simulation system ROSI.

关键词： Computer-aided planning workcell design layout planning robot assembly robot simulation assembly planning work frame data model

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