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Research on Operation State Evaluation of Power Plant Key Transformer Equipment Based on Fuzzy Analytic Hierarchy Process

Research on Operation State Evaluation of Power Plant Key Tr...

引用

2023 international conference on cyber-Physical Social Intelligence, ICCSI 2023

作者： Yong-Ping, Gu Juan-Yun, Chen Xue-Wu, Wang Zhi-Guang, Chen Kai, Fu Yuan-Chao, Hu Zhejiang Zheneng Electric Power Co. LTD. Taizhou Power Plant Taizhou318000 China Hangzhou Yu-jia-wei Technology Co. Ltd Hangzhou310000 China

ISBN: (纸本)9798350312492

A multiple criteria decision making model of ordinary oil-immersed transformers replacement priority with high overload capacity distribution transformers (HOCDT) in self-use power system of thermal power plant is proposed in this paper. The decision making model consists of device property assessment and health condition assessment. The details of various assessment methods include device property assessment based on fuzzy analytic hierarchy process (FAHP) and health condition assessment method based on fuzzy synthetic evaluation. Integrating the device property assessment results and the health condition assessment results, we get a more comprehensive priority assessment result. An actual self-use power system of thermal power plant is utilized to validate the model and the numerical results testify that: the assessment model considering multiple aspects related to this problem could give a more comprehensive assessment result than just considering one of them and an appropriate priority scheme of transformers replacement obtained. The research in this paper could provide a feasible reference for self-use power system of thermal power plant to prioritize the replacement of ordinary distribution transformers. © 2023 ieee.

关键词： Analytic hierarchy process

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Research on the Recognition Algorithm for the Presence of Occlusion in Face Images based On DDPM 1

Research on the Recognition Algorithm for the Presence of Oc...

引用

1st international conference on Software, systems and Information technology, SSITCON 2024

作者： Dai, Changxiu University of Foreign Studies Intelligent Information Processing School of Computer Science South China Business College of Guangdong Guangdong China

ISBN: (纸本)9798350352931

In recent years, with the development of AI, face recognition technology has made great progress. However, there are still many challenges and problems with face recognition in complex environments. Especially in the era after the new crown, new viruses appear from time to time, and wearing masks has become a daily need for people. Masks obscure the key features of the face, and traditional face recognition technology cannot correctly recognize faces in access control systems, time and attendance systems, and security systems. Therefore, it is very meaningful to study how to recover the masked face image into a real image without mask, which is helpful to improve the accuracy of face recognition. In this article, for the research of local occlusion face recognition technology, we propose the face image restoration technology based on the diffusion model to remove glasses and masks, which solves the problem of effectively restoring the details of the face under the large-area occlusion. Finally, the restored face is input into Resnet network to achieve the purpose of face recognition. The experiment proves that the use of diffusion model denoising face can effectively improve the accuracy of recognition. © 2024 ieee.

关键词： Restoration

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Command Filter-Based Adaptive Fault-Tolerant controller Design For Nonstrict-Feedback Nonlinear systems

Command Filter-Based Adaptive Fault-Tolerant Controller Desi...

引用

2023 international Annual conference on Complex systems and intelligent Science, CSIS-IAC 2023

作者： Liu, Jianwei Cui, Yang Liu, Fengfeng Ao, Dongdong Guo, Zhen School of Electronic and Information Engineering University of Science and Technology Liaoning Liaoning China

ISBN: (纸本)9798350309003

This paper investigates the neural network adaptive control problem for a class of nonstrict-feedback nonlinear systems with nonaffine nonlinear faults. The command filter is used to solve the problem of complexity explosion. The adaptive fault-tolerant tracking controller is designed by using neural network approximation and Butterworth low-pass filter. The proposed control method in this paper can ensure that the tracking error converges to a small range near the origin, and all signals of the closed-loop system are bounded. Finally, a simulation example is given to illustrate the effectiveness of the proposed control method. © 2023 ieee.

关键词： Nonlinear systems

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Fault Diagnostic Opportunities for Electromagnetic Coils of Active Magnetic Bearings using Physics-of-Failure Analysis 5

Fault Diagnostic Opportunities for Electromagnetic Coils of ...

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5th international conference on System Reliability and Safety Engineering, SRSE 2023

作者： Li, Ruiqi Wang, Kai Zeng, Peng Cao, Jiwei Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang110016 China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang110016 China Harbin Institute of Technology Department of Electrical Engineering China

ISBN: (纸本)9798350305944

Active magnetic bearings (AMBs) have many advantages over traditional oil bearings due to their non-contact characteristics. They are environmentally friendly solution and have been proven to be highly reliable and available. Electromagnetic coils are vital components of AMB and they are failure prone. In this paper, the failure mode of magnetic bearing coil and its corresponding failure mechanism are reviewed by FMMEA method, and the existing coil fault diagnosis methods are introduced. Future directions for coil insulation health monitoring aiming at the application characteristics of AMBs are also discussed. © 2023 ieee.

关键词： Failure analysis

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Adaptive Neural Optimal control of a Robot Manipulator with Time-Varying State Constraints

Adaptive Neural Optimal Control of a Robot Manipulator with ...

引用

2023 international Annual conference on Complex systems and intelligent Science, CSIS-IAC 2023

作者： Wei, Yan Hao, Mingshuang Yu, Xinyi Chen, Qiang Ou, Linlin College of Information Engineering Zhejiang University of Technology Hangzhou China

ISBN: (纸本)9798350309003

This study explores the problem of adaptive optimal tracking control for a robot manipulator with time-varying state constraints. An adaptive neural optimal control scheme is proposed using an asymmetric time-varying integral barrier Lyapunov function (ATIBLF). In order to address the challenges associated with solving the Hamilton-Jacobi-Bellman equation for nonlinear robot systems, the adaptive optimal tracking controller is designed within the framework of 'actor-critic'. The ATIBLF terms are appropriately incorporated at each step of the optimized backstepping control design to ensure that the time-varying state constraints are never violated. Stability analysis demonstrates that all closed-loop signals of the robot system remain bounded and do not violate the time-varying state constraints. Simulations are conducted to validate the effectiveness of the proposed control method. © 2023 ieee.

关键词： Lyapunov functions

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Integrated train timetable and rolling stock circulation plan scheduling with the virtual coupling technology for a Y-shaped metro line 25

Integrated train timetable and rolling stock circulation pla...

引用

ieee 25th international conference on intelligent Transportation systems (ITSC)

作者： Wang, Zhikai Su, Boyi Beijing Jiaotong Univ Frontiers Sci Ctr Smart High Speed Railway Syst State Key Lab Traff Control & Safety Beijing Peoples R China

ISBN: (数字)9781665468800

ISBN: (纸本)9781665468800

The imbalanced distribution of the passenger demand in time and space dimensions brings a great challenge to the train scheduling problem. To deal with this problem, this paper develops a train scheduling optimization model with the virtual coupling technology on a Y-shaped metro line. The stop patterns of trains running in different branch lines are formulated. The objective of this model is to minimize the approximate passenger waiting time. Moreover, the timetable scheduling problem and the rolling stock scheduling problem are integrated through a big-M formulation. Particularly, trains are allowed to operate in a platoon according to the passenger demand based on the advanced virtual coupling technology. Decision variables and constraints associated with the train platoon are considered. Further, this model is transformed into an integer programming (IP) model which can be solved by the CPLEX optimizer. Finally, a case study is developed to verify the effectiveness of the train scheduling model. The computational results show that the passenger waiting time decreases under the condition of the virtual coupling technology.

关键词： Virtual coupling Train timetable scheduling Rolling stock scheduling

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Automated Visual Inspection System of Gear Surface Defects Detection Using Faster RCNN

Automated Visual Inspection System of Gear Surface Defects D...

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2023 international conference on Advanced Mechatronics, intelligent Manufacture and Industrial automation, ICAMIMIA 2023

作者： Indasyah, Enny Ibrahim, Febrian Syahbana, Dwiky Fajri Istiqomah, Fivitria Institut Teknologi Sepuluh Nopember Electrical Automation Engineering Surabaya Indonesia Kyushu Institute of Technology Life Science and Systems Engineering Kitakyushu Japan Dokuz Elylul University Electrical Electrical and Electronic Engineering Izmir Turkey

ISBN: (纸本)9798350309225

A company that produces gears is capable of producing 50 gears per hour every day. The gears will be sorted by the QC (Quality control) division by taking faulty gears based on the surface and rigidity shape. In one production process, it produces 3-6 faulty gears. The QC process has shortcomings such as the sharpness of vision, concentration duration and accuracy of each person varies, so faulty gears can escape the QC stage, which will become a problem if it reaches the distributor's hands as it will affect the level of trust. Therefore, a visual inspection system was created that contains an algorithm that detects image defects using the Faster RCNN deep learning method. The gear detection process in this project uses the Faster RCNN method, which has a higher accuracy than the Frame Per Second speed or detection speed. This method aims to achieve a higher accuracy. The average accuracy produced in the condition of 1 gear and 1 type of defect in 1 frame and the conveyor is not moving is 86%, but the value decreases when detecting 2 classes of defects in one frame and the conveyor is not moving, the average accuracy produced is 76%, and also when on the conveyor that is moving at speeds of 2-8.3 RPM and 1 gear in 1 frame, the average accuracy decreases to 83.32%. © 2023 ieee.

关键词： Inspection

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Offset Optimization for Arterial Signal Coordination Considering Spillover Prevention 25

Offset Optimization for Arterial Signal Coordination Conside...

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ieee 25th international conference on intelligent Transportation systems (ITSC)

作者： Er, JingTing Yu, Chunhui Ma, Wanjing Tongji Univ Minist Educ Key Lab Rd & Traff Engn Shanghai 201804 Peoples R China

ISBN: (数字)9781665468800

ISBN: (纸本)9781665468800

Traffic signal coordination is critically important in a traffic control system, especially when spillovers occur. Based on the arrival-departure pattern, a vehicle delay model was proposed. In order to avoid queue spillovers, queue length limiting was used as the constraint condition of the model. Offset was optimized with the goal of minimizing total vehicle delay. The offset optimization model is formulated as a nonlinear programming program and this study uses the enumeration method, traverses the value range of offset to obtain the optimal offset with the minimum total vehicle delay. Simulation results have demonstrated that the proposed model can significantly reduce the average delays and average queue length compared with the MAXBAND model and SYNCHRO.

关键词： Upper bound Limiting Simulation Programming Predictive models Traffic control Real-time systems

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Revolutionizing Traffic Law Enforcement: IoT-Enabled Vehicle control systems for Smart Cities

Revolutionizing Traffic Law Enforcement: IoT-Enabled Vehicle...

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2024 ieee international conference on intelligent Signal Processing and Effective Communication Technologies, INSPECT 2024

作者： Mehta, Shiva Singh, Manpreet Chitkara University Institute of Engineering and Technology Chitkara University Centre for Research Impact & Outcome Punjab Rajpura140401 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India

ISBN: (纸本)9798350379525

This article presents an enhanced Internet of Things-based vehicle management system for traffic law enforcement to improve road safety and compliance with the law. The designed system will integrate real-time data collection from various IoT devices such as cameras, speed sensors, and RFID readers and incorporate complex machine learning algorithms to detect offences on the road and control the traffic patterns accordingly. In a three-month prototype application in a small metropolitan area, the system demonstrated a traffic violation detection rate of 92.3% - including speeding and red-light running - with a reduction of false positives compared to traditional methods of 28%. Upon putting the system to use, releases in traffic violations were cut by 30%, and the punctuality of the traffic flow during rush hour was given a 15% boost with evidence of the reduction of average waiting time at major junctions. Furthermore, it enhanced the response time via technology, with responders achieving an 18% cut in the average response time of emergency vehicles compared to the original method. Nevertheless, some problems were observed: first, high dependence on the Internet - the data processing of objectives was slowed down by 12% of regions with a weak Internet connection. In addition, 14 % of users reported concerns about data privacy, showing the necessity of taking steps to improve data protection. The results reveal that while the IoT -based vehicular control system yields benefits for enforcing traffic laws, key challenges relating to connectivity, the privacy of information, and system adaptability must be addressed if it is to be first applied and then effectively implemented in extensive urban environments. © 2024 ieee.

关键词： Data privacy

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The Concept of Built-in Metrological Support of Voltage Measuring Channels for Internet of Things 12

The Concept of Built-in Metrological Support of Voltage Meas...

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12th ieee international conference on intelligent Data Acquisition and Advanced Computing systems: technology and Applications, IDAACS 2023

作者： Kochan, Volodymyr Mokhun, Serhii Fedchyshyn, Olha Boitsaniuk, Svitlana Bykovyy, Pavlo Parakuda, Vasyl Jiwei, Hu Anrang, Xu West Ukrainian National University Ternopil46020 Ukraine Research Institute of Intelligent Computer Systems of Western Ukrainian National University Ternopil46020 Ukraine Ternopil Volodymyr Hnatiuk National Pedagogical University Ternopil46000 Ukraine I. Horbachevsky Ternopil National Medical University Ternopil46000 Ukraine Lviv Polytechnic National University Lviv79013 Ukraine State Scientific Research Institute for Metrology of Measuring and Control Systems Sistema Lviv79000 Ukraine Wuhan Fiberhome Technical ServicesCo. Ltd Wuhan China

ISBN: (纸本)9798350358056

The paper proposes the concept of equipping measuring channels (MC), in particular, voltage ones, with built-in metrological self-checking systems (MSC), which use methods for determining the additive, multiplicative and nonlinear components of the MC error. The proposed concept is based on methods that require only one precision element - the calibration voltage source. At the same time, the MSC can be carried out during the operation of the MC. The presence of such systems enables a sharp increase in the accuracy and metrological reliability of MC, as well as a sharp decrease in the labour intensity of their metrological maintenance. © 2023 ieee.

关键词： built-in metrological support measuring channel metrological support voltage measurement

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