Design and experimental research of video detection system for ship fire

Gas insulated switchgear equipment (GIS) is widely used in power system, and more attention has been paid to discharge defects than mechanical defects. However, since mechanical defects are a major cause of the failure in GIS, it is of great significance to carry out relevant research on mechanical defects. Detection and diagnosis methods of mechanical defects based on vibration signal are studied in this paper. Firstly, vibration mechanisms of GIS are analyzed. Due to structural differences between single phase insulated type GIS and three phase insulated type GIS, there are big differences in vibration mechanisms between the two types of GISs. Secondly, experimental research on mechanical defects is carried out based on a 110 kV GIS equipment and a self-developed vibration detection system; results show that mechanical defects can be diagnosed by analyzing signal amplitude, frequency spectrum and waveform distortion rate, and a large current is more beneficial for diagnosing mechanical defects. Lastly, field application has been carried out on 220 kV GIS equipment, and a poor contact defect is found, demonstrating that abnormal diagnosis can be realized by method proposed in this paper. Experimental research and field application demonstrate the feasibility and effectiveness of detection and diagnosis method for mechanical defects based on vibration signal and provide experience for subsequent engineering application.

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Design of Partial Discharge Detection System for High Voltage Electrical Equipment Based on Intelligent Video Detection Algorithm

Lecture Notes in Electrical Engineering - Innovative Computing ◽

10.1007/978-981-16-4258-6_17 ◽

2022 ◽

pp. 133-139

Author(s):

Liang Qi ◽

Bo Wang ◽

Yapeng Zhang ◽

Qingping Zhang ◽

Wenwei Zhu

Keyword(s):

High Voltage ◽

Detection System ◽

Partial Discharge ◽

Electrical Equipment ◽

Detection Algorithm ◽

Video Detection ◽

Discharge Detection

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Effect of Video Detection System Layout under Covering and Differentiating Route Flow Principles

Journal of Transportation Engineering Part A Systems ◽

10.1061/jtepbs.0000307 ◽

2020 ◽

Vol 146 (3) ◽

pp. 04019077

Author(s):

Jianbei Liu ◽

Donghui Shan ◽

Xiaoduan Sun ◽

Ming Sun ◽

Mingxian Wu

Keyword(s):

Detection System ◽

Video Detection ◽

System Layout

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The Research on Leak Detection System of City Gas Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.353-356.3067 ◽

2013 ◽

Vol 353-356 ◽

pp. 3067-3071

Author(s):

Jiao Na Jiao ◽

Jian Jun Yu

Keyword(s):

Experimental Research ◽

Detection System ◽

Reference Value ◽

Leak Detection ◽

Detection Task ◽

Leakage Detection ◽

Gas Network ◽

Daily Monitoring ◽

Detection Systems ◽

City Gas

Researches on leak detection system of gas network are significant to fault pipelines diagnosis. In the daily operation of city gas pipeline network, pipeline leakage is the most risky failure type. This paper attempts to review and analyze the existing gas network leak detection systems, meanwhile, design a new kind of leak detection system for daily monitoring and leakage detection of gas network. The greatest advantage of this system is to be able to do all kinds of leak experimental research, especially has great reference value for the leak detection task in colleges and universities.

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Natural language processing based advanced method of unnecessary video detection

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i6.pp5411-5419 ◽

2021 ◽

Vol 11 (6) ◽

pp. 5411

Author(s):

Nazmun Nessa Moon ◽

Imrus Salehin ◽

Masuma Parvin ◽

Md. Mehedi Hasan ◽

Iftakhar Mohammad Talha ◽

...

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Detection System ◽

Video Content ◽

Text Data ◽

Data Set ◽

Plain Text ◽

Video Detection ◽

Library Function

<span>In this study we have described the process of identifying unnecessary video using an advanced combined method of natural language processing and machine learning. The system also includes a framework that contains analytics databases and which helps to find statistical accuracy and can detect, accept or reject unnecessary and unethical video content. In our video detection system, we extract text data from video content in two steps, first from video to MPEG-1 audio layer 3 (MP3) and then from MP3 to WAV format. We have used the text part of natural language processing to analyze and prepare the data set. We use both Naive Bayes and logistic regression classification algorithms in this detection system to determine the best accuracy for our system. In our research, our video MP4 data has converted to plain text data using the python advance library function. This brief study discusses the identification of unauthorized, unsocial, unnecessary, unfinished, and malicious videos when using oral video record data. By analyzing our data sets through this advanced model, we can decide which videos should be accepted or rejected for the further actions.</span>

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CONSTRUCTION OF SYSTEMS OF DETECTION OF INVASIONS INTO THE INFORMATI TON AND TELECOMMUNICATIONS NETWORK ON THE BASIS OF METHODS OF INTELLECTUAL DISTRIBUTION OF DATA

Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University ◽

10.17721/2519-481x/2020/68-09 ◽

2020 ◽

pp. 80-89

Author(s):

S. Toliupa ◽

O. Pliushch ◽

I. Parhomenko

Keyword(s):

Data Mining ◽

Experimental Research ◽

Intelligent Systems ◽

Detection System ◽

Attack Detection ◽

Information Network ◽

Distributed Information ◽

Network Attack ◽

Detection Model ◽

Detection Systems

The article proposes a combinatorial construction of a network attack detection system based on selected methods of data mining and conducts experimental research that confirms the effectiveness of the created detection model to protect the distributed information network. Experiments with a software prototype showed the high quality of detection of network attacks and proved the correctness of the choice of methods of data mining and the applicability of the developed techniques. The state of security of information and telecommunication systems against cyberattacks is analyzed, which allowed to draw conclusions that to ensure the security of cyberspace it is necessary to implement a set of systems and protection mechanisms, namely systems: delimitation of user access; firewall; cryptographic protection of information; virtual private networks; anti-virus protection of ITS elements; detection and prevention of intrusions; authentication, authorization and audit; data loss prevention; security and event management; security management. An analysis of publications of domestic and foreign experts, which summarizes: experience in building attack detection systems, their disadvantages and advantages; of attack and intrusion detection systems based on the use of intelligent systems. Based on the results of the review, proposals were formed on: construction of network attack detection systems on the basis of selected methods of data mining and experimental research, which confirms the effectiveness of the created detection model for the protection of the distributed information network.

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