• Proceedings of the KIEE Conference
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• 2000.07c
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• pp.1966-1968
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• 2000

Globally, oil-filled paper-insulated cables and cross-linked polyethylene-insulated cables have been mainly applied for a underground power transmission line. The oil-filled cable has the hydraulic system in which insulating oil, expanded and contracted by temperature changes, is absorbed and supplied. This system enable us to detect oil leakages from the cable. But it has some problems such as difficulty in detecting minor leakages and a relatively long period of fault detecting. And so, this paper introduce a new leakage detection system, improved from the current one.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.128-130
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• 2000

This paper develops the deterioration detecting sensor in oil to monitor and diagnose oil-filled transformer more effectively. The on-line inspection of the oil-filled transformers used the temperature, the changes of the capacitance, the $tan{\delta}$ in oil. This sensor was designed based on the concentric cylindrical type so that it could be placed inside of the oil-filled transformer. And comparing to the existing system, it was proven to be appropriate. Establishment of the proposed sensor helps to build the confidence in monitoring of the oil-filled transformers.

• Journal of Sensor Science and Technology
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• v.31 no.4
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• pp.266-270
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• 2022

Owing to the rising volume of seaborne trade, oil spills damage the marine environment for over 250 yearly. Thus, various analysis methods such as the Fourier-transform infrared (FTIR), Raman spectroscope, and gas chromatography are used to monitor oil spills at sea, but these methods are expensive. Recently, to reduce operational costs, an underwater fluorometer was adopted. However, this approach is not ideal for the remote sensing of oil spills because the device gets submerged in the sea. In this study, we have designed and developed a monitoring system that uses ultraviolet fluorescence to detect spilled oil or water from a distance, as well as proposed an analyzing method defining based on water Raman signal and QF535. Each fluorescence spectrum of water, oil (crude oil), and Bunker A was obtained using the system, and was calculated and analyzed from the spectrum individually. Based on the results of the analysis, we could successfully identity water and oil at a long distance.

• Structural Monitoring and Maintenance
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• v.3 no.4
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• pp.377-393
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• 2016

The present work develops an expert system for detecting and predicting the crude oil types and properties at normal temperature ${\theta}=25^{\circ}C$, by evaluating the dielectric properties of the fluid transfused inside glass fiber reinforced epoxy (GFRE) composite pipelines, by using electrical capacitance sensor (ECS) technique, then used the data measurements from ECS to predict the types of the other crude oil transfused inside the pipeline, by designing an efficient artificial neural network (ANN) architecture. The variation in the dielectric signatures are employed to design an electrical capacitance sensor (ECS) with high sensitivity to detect such problem. ECS consists of 12 electrodes mounted on the outer surface of the pipe. A finite element (FE) simulation model is developed to measure the capacitance values and node potential distribution of ECS electrodes by ANSYS and MATLAB, which are combined to simulate sensor characteristic. Radial Basis neural network (RBNN), structure is applied, trained and tested to predict the finite element (FE) results of crude oil types transfused inside (GFRE) pipe under room temperature using MATLAB neural network toolbox. The FE results are in excellent agreement with an RBNN results, thus validating the accuracy and reliability of the proposed technique.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.98.3-98
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• 2001

The research for detecting of insulating deterioration in transformer has been studied from long ago. Analysis method of combustible gas, which is included in insulating oil, has been widely used in detection of transformer pre-fault detection due to the effectiveness of its method. Recently the fault effect of the large transformer is very critical in a power system, therefore the on-line monitoring and diagnostic system is needed. In addition, the more accurate method of detecting a Partial Discharge (PD) location should be developed. For preventive maintenance against discharge failures, it is important not only to detect the discharges, but also to accurately estimate their positions. However ...

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.14 no.6
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• pp.85-92
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• 2000

This paper has developed the system that can monitor the distribution transformers(pole and pad) using simplified deterioration detecting sensor in oil and wireless data communication. This system is made up by deterioration detecting sensor, oil level measuring system, deterioration measuring system and communication unit. To prove the usefulness of the system, the paper compared and analyzed the system with the existed system, and after studying the correlation of the both, the result proved goodness of the new system. The proposed monitoring system, when it is used on the pole and pad transformer, would make the reliable diagnoses possible with less rate.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2004.07a
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• pp.207-210
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• 2004

In oil-filled equipment such as transformers, partial discharge or local overheating will make insulating material(oil, kraft paper, proclain and wood) be stressed and generate many sort of gases($CO,\;CO_2,\;H_2,\;C_2H_4$) which are dissolved in transformer oil. The ratio of this gas can make diagnostic tecchniques of the lifetime of transfomer so, it is important to monitoring $H_2$ gas continuously. This paper developes a system of detecting about $H_2$ gas by using $H_2$ gas sensor, and we describe operation and performance of this system

• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.3
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• pp.184-191
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• 2004

In this study, an inspection system for automotive parts using machine vision has been developed and presented. The system is comprised of six analog CCD cameras, frame grabber, and mechanism that loads the automotive parts to the system for the inspection. An Image processing algorithm for detecting eight different types of defects of oil-seals are developed, and the effectiveness of the algorithm is experimentally verified. Inspection process is completed in 1 second with acceptable accuracy. It is envisaged that this inspection system will have a wide application in the automotive part manufacturing industry in the future.

• Fire Science and Engineering
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• v.24 no.1
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• pp.134-139
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• 2010

According to the "Yearbook of disaster response, fire safety and fire statistics (NEMA: National Emergency Management Agency)", approximately 34% of all fire is interior fire such as hotel, restaurant and residence and more than 53% of which is occurring in the kitchen. The evaluation of fire extinguishing system in the kitchen is performed in accordance with the "Korea Fire Equipment Inspection Standard (KOFEIS 0101-1)" which is using one environmental condition. However, only using one environmental condition is not enough to evaluate the performance of the automatic fire extinguisher in kitchen fire. So the study of fire detecting characteristic about various environmental condition needs. In this study, the numerical analysis is carried out about detecting time characteristic for various range's surrounding environment. As a result, it showed up to 100 s difference in the detection time depending on the position of the range. And detecting time also showed difference for on-off hood operation. From this results, it can be verify and improve the evaluation standard for the fire extinguishing system in kitchen fire.

• Proceedings of the KIEE Conference
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• 2004.07c
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• pp.1842-1844
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• 2004

In oil-filled equipment such as transformers, partial discharge or local overheating will make insulating material(oil, kraft paper, proclain and wood) be stressed and generate many sort of gases(CO, $CO_2,\;H_2,\;C_2H_4$) which are dissolved in transformer oil. The ratio of this gas can make diagnostic tecchniques of the lifetime of transfomer so, it is important to monitoring $H_2$ gas continuously. This paper developes a system of detecting about $H_2$ gas by using $H_2$ gas sensor, and we describe operation and performance of this system.