• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 C
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• pp.1860-1862
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• 2004

It is widely known that the ultra high frequency (UHF) method that detects the electromagnetic wave of the PD pulses in the gas insulated space is one of the most competitive methods for its high sensitivity. From the above point of view, this paper describes the characteristics of GIS PD signals measured with ultra wide band (UWB) GIS PD detecting system in which PD signals are detected into the dual UHF band. The UWB PD detection system consists of the UWB UHF coupler, the UWB low noise amplifier (LNA) and the oscilloscope. The dual bands for PD signals are 0.5-2GHz(full band) and 1-2GHz(high band). As results, it was found that the partial discharges of each defect have their own characteristic pattern and the ratio of High band to Full band increases with gas pressure.

• Transactions on Electrical and Electronic Materials
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• 제7권5호
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• pp.224-229
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• 2006

Many studies have been done on the application of residual charge measurement in cable degradation diagnosis. In this paper, the behavior of residual charges measured with water-tree degraded XLPE sheets and cable are discussed. At charge injection process, the charge is injected by applying dc voltage as a conventional method, suddenly cut-off ac voltage or impulse voltage. Therefore the residual charge is influenced by the applying process. At charge release process, transient dc current flows when applying ac high voltage and also ac high voltage superimposed to dc low voltage. From the results, new diagnosis method is suggested.

• Communications for Statistical Applications and Methods
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• 제19권3호
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• pp.359-365
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• 2012

The fuzzy set framework has a number of properties that make it suitable to formulize uncertain information in medical diagnosis. This study introduces a fuzzy diagnostic method based on the interval-valued interview chart and the interval-valued intuitionistic fuzzy weighted arithmetic average(IIFWAA) operator. An issue in the use of the IIFWAA operator is to determine the weights. In this study, we propose the occurrence information of symptoms as the weights. An illustrative example is provided to demonstrate its practicality and effectiveness.

• Journal of Oral Medicine and Pain
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• 제24권4호
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• pp.479-487
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• 1999

Forensic odontology and DNA typing in individual identification have been progressing rapidly and its significances has been increasing. But not all individual identification can be done by one single method solely. Therefore, understanding the advantage and disadvantage of each method is necessary to achieve forensic individual identification properly in each case for it to be applied promptly, economically and precisely.

• 한국정밀공학회지
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• 제17권4호
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• pp.135-141
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• 2000

The major role of temperature sensors in thermal error compensation system of machine tools is improving machining accuracy by supplying reliable temperature data on the machine structure. This paper presents a new method for fault diagnosis of temperature sensors and recovery of faulted data to establish the reliability of thermal error compensation system. The detection of fault and its location is based on the correlation coefficients among temperature data from the sensors. The multiple linear regression model which is prepared using complete normal data is also used fur the recovery of faulted data. The effectiveness of this method was tested by comparing the computer simulation results and measured data in a CNC machining center.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 추계학술대회논문집
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• pp.401-406
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• 2006

This paper presents the fault diagnosis of induction motor based on support vector machine(SVMs). SVMs are well known as intelligent classifier with strong generalization ability. Application SVMs using kernel function is widely used for multi-class classification procedure. In this paper, the algorithm of SVMs will be combined with feature extraction and reduction using component analysis such as independent component analysis, principal component analysis and their kernel(KICA and KPCA). According to the result, component analysis is very useful to extract the useful features and to reduce the dimensionality of features so that the classification procedure in SVM can perform well. Moreover, this method is used to induction motor for faults detection based on vibration and current signals. The results show that this method can well classify and separate each condition of faults in induction motor based on experimental work.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2001년도 학술대회논문집
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• pp.139-144
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• 2001

Insulation aging diagnosis system provides early warning regarding electrical equipment defect. Early warning is very important in that it can avoid great losses resulting from unexpected shutdown of the production line. Since relations of insulation aging and partial discharge dynamics are non-linear, it is very difficult to provide early warning in an electrical equipment. In this paper, we propose the design method of insulation aging diagnosis system that use a magnetic wave and acoustic signal to diagnoses an electrical equipment. Proposed system measures the partial discharge on-line from DAS(Data Acquisition System) and acquires 2D patterns from analyzing it. For filtering the noise contained in sensor signals we used ICA algorithms. Using this data, design of the neuro-fuzzy model that diagnoses an electrical equipment is investigated. Validity of the new method is asserted by numerical simulation.

• 전력전자학회논문지
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• 제12권5호
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• pp.372-377
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• 2007

본 논문은 가변속 구동 장치에서 직류링크 전압 평활용으로 사용되는 전해 커패시터의 새로운 고장 진단 방법을 제안한다. 전해 커패시터의 등가직렬저항은 직류링크 전압과 부하 전류로부터 직접 추정되고, 추정된 등가직렬저항으로부터 전해 커패시터의 상태가 결정된다. 온도 변동에 따른 등가직렬저항 변동을 보상하기 위해, 커패시터 주변의 PCB에 다이오드를 부착하고 다이오드의 전압 강하로부터 커패시터의 온도를 간접적으로 검출한다. 시뮬레이션 및 실험은 제안된 방식의 효용성을 보인다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1993년도 정기총회 및 추계학술대회 논문집 학회본부
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• pp.314-316
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• 1993

In this paper, a method to detect and diagnose faults in Automated Manufacturing Systems(AMS) is proposed. In AMS, it is necessary to monitor the process-status. The detection and diagnosis of faults are often difficult in monitoring level with given passive data. We propose the model-based monitoring system for faults detection and diagnosis using Petri Nets to model AMS efficiently and easily. Simulation results show the validity of proposed method with example of Reverse Mill Process in Automated Mill Lines.

• 수면정신생리
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• 제10권1호
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• pp.5-11
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• 2003

Sleep apnea syndrome is a common clinical disorder characterized by intermittent cessation of airflow at nose and mouth during sleep. The clinical significance of this syndrome is that it is one of the most common causes of excessive daytime sleepiness. It can also cause neuropsychiatric, cardiovascular, and cerebrovascular complications. The standard for diagnosis of sleep apnea syndrome is nocturnal polysomnography. Because polysomnography is a time-consuming and expensive test, many efforts have been made to replace polysomnography with a simpler system of monitoring, but no method has yet been approved as a definitive investigation method. The goals of treatment for this syndrome are to eliminate excessive daytime sleepiness and to reduce the risk of possible cardiovascular complications. Continuous positive airway pressure is the most definite and widely accepted treatment for achieving these goals. Other treatments such as surgical treatment, oral appliances, and behavioral therapy may be useful for selected patients who are mildly affected.