• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.20-27
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• 2000

A chatter vibration and a workpiece burn are the main phenomena to be monitored in modern grinding processes. This study describes a trouble diagnosis of the cylindrical plunge grinding process using the power and acoustic emission (AE) signals. The raw signals of the power and the AE occurred during the grinding operation were sampled and analyzed to determine the relationship between each fault and change of signals. A neural network that has a high success rate of the fault detection was used. Furthermore, an analysis on the influence of parameters to the chatter vibration and the grinding burn was conducted.

• Journal of Advanced Marine Engineering and Technology
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• v.23 no.1
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• pp.79-87
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• 1999

The most part of the faculty drop a trouble and damage of machine equipment even if whatever cause they break out take place at local and trifling place and the factor dominating their trouble is due to wear debris occurred in the lubricated machine moving surface. This study has been car-ried out to identify morphology of wear debris on the lubricated machine moving system by means of computer image analysis. Namely the wear debris contained in lubricating oil extracted from movable machine equipment will be filtered through membrane filter(void diameter 0.45${\mu}m$) and will be analyzed with its data information such as 50% volume diameter aspect roundness and reflectivity. Morphological characteristic of wear debris is easily distinguished by four shape parameters it is necessary to divide small class of every 100 wear debris in total wear particles in order to distinguish morphological characteristic of wear debris more easily by computer image analysis. We are sure that operation condition diagnosis of the lubricated machine moving surfaces is possible by computer image analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.403-406
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• 2000

최근 통신망 인프라 구축이 늘어나면서 이의 신뢰성(Reliability)과 가용성(Availability)이 경제 주체인조직 전반의 생산성에 미치는 영향이 그 만큼 커지고 있다. 정보 흐름의 파이프 역할을 담당하고 있는 통신망 시설(하드웨어 및 운용 프로토콜)에 일시적인 장애가 발생할 경우 이로 인해 조직은 엄청난 손실을 입을 수 있다. 따라서 통신망을 안정적으로 운용할 수 있는 보다 효과적인 수단이 요구되고 있다. 통신망에서의 장애를 효과적으로 해결하기 위해서는 장애를 추적하는 장애처리티켓시스템(Trouble Ticket System)이 필요하다. 장애처리티켓시스템은 궁극적으로 네트워크 운영 방식을 획기적으로 개선함으로써 통신망 장애로 인한 시간적, 경제적 손실을 최소화할 수 있다. 본 논문에서는 장애추적해결시스템의 설계와 구현을 통해서 국내 실정에 맞는 장애처리티켓시스템 개발에 적극 활용할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.213-216
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• 2005

In this paper, we propose the redirect streaming service model to enhance resurgent ability. The system consists of a redirect server, local streaming servers and clients. A redirect server searches the best streaming server. And streaming servers starts a requested service or resumes it when in a trouble. RTSP/RTP is one of the effective solutions to improve QOS in VOD, however a service can be broken off by an overloaded server or network especially in live. We designed and implemented not only a distributed streaming system that solves the broken-off service to enhance a resurgent system, but also DSSP, distributed streaming service protocol, which is adopted to implement this model. Those will improve the performance of streaming service using RTP/RTSP and be contributed to a real time streaming research to solve a service trouble.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.17 no.5
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• pp.567-571
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• 2004

Recently, GIS(Gas Insulated Switchgear) has been recognizing of importance on development of diagnosis technique which is happened problem on confidence for a long time use. Therefore, the measurement and analysis of PD with prior phenomenon of insulation breakdown is used many method of diagnosis for GIS. In this paper, we simulate trouble condition in DS and analysis trouble signal to use electrical and mechanical methods, interpretation of detected signal has analysed with to use ø-q-n pattern and neural network. For this analysis, we have used the induction and AE(acoustic emission) sensors. For the simulation experiment, we make DS for 170 KV GIS and analyze the classification and characteristics of detected signals with the application of neural network algorithm.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.189-192
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• 2002

When a large scale system and its machinery have a trouble, an inexperienced personnel has a difficulty to find out a countermeasure and to understand the situation quickly. In this paper, a Online Guide Application using 3D Virtual Reality is proposed, and it will be used for operator to work out a countermeasure quickly and to see a trouble situation widely. This application shows possibility of minimizing effects of an incident by presenting effective troubleshooting process. moreover, this is expected to be applied to training program.

• Journal of Power System Engineering
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• v.3 no.3
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• pp.97-103
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• 1999

As the noise of ship engine room is too loud, the engineer who works in a ship engine-room has the trouble of hearing. In this paper deals the investigation of the noise of ship engine room and cabins with the internationally allowable noise exposure level and noise exposure time. Recently, the problem of engine-room noise is more serious because of shipowner wants to make small number and larger size of cylinder. Therefore, engineers work in a ship engine-room for a long time have the trouble of hearing when they are exposed the high noise level. In this study, two kinds of vessels were used to investigate the noise of engine room, engine-control room, bridge, offices and cabins. As criteria of sound levels, A-weighted sound pressure level and octave band pressure level were used.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.11a
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• pp.194-199
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• 1996

Grinding burn formed on the ground surface is related to the maximum temperature of workpiece surface and wheel temperature in the grinding process. The thermal characteristics of workpiece and grinding conditions on the surface temperature of the oxidation growing layer after get out of contact with the grinding wheel. The assumption used in grinding power signatures leads to the local temperature distribution between grinding wheel and workpiece, i.e., a single curve determines temperatures anywhere within the grinding wheel at anytime. This information is useful in the study of the grinding bum penetration into the wheel and thus provides an presentation of grinding trouble monitoring for the burning. On the basis of grinding power signatures in the wheel, thermally optimum conditions are defined and controlled. To cope with grinding burn, the use of grinding power signatures is an effective monitoring systems when occurring the grinding process. In this paper, the identified parameters suggested in this study which are derived from the grinding power signatures are presented.

• The Korean Journal of Food And Nutrition
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• v.12 no.5
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• pp.529-535
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• 1999

This study was aimed to evaluate any influence food habits food intake freqyuency and factors associated hair conditions. The subjects of this study consisted of 291 female college students in Chung Ju. Questionnaires were completed by them Eating habits of subjects was irregular and hair type was not good generally hair glossy was most Who had hair trouble. The relationship between hair type and eating habits was not significant. But the rate of hair troubles, fallen hair, white hair, glossy were lower at the fish and soybean intake frequency to increasrd.(p<0.05) The drinking trime of coffee(p<0.01) and alcoholic beverage(p<0.05) per day was significant negative correlation with hair growth.

• Journal of the Korean Society for Precision Engineering
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• v.8 no.3
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• pp.27-43
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• 1991

연소 가공은 고품질 고정도를 필요로 하는 경우 매우 유효한 가공방법이지만 그 공정이 많은 Parameter에 의해 구성되기 때문에 동일한 조건에서도 정량적인 평가가 어려우므로 작업현장 에서는 과학적 원리와 공학적 지식 보다는 숙련자의 경험과 기능에 의존하고 있는 실정이다. 본 연구에서는 이와 같은 국면에 대처한 문제 해결을 위해 Computer가 인간사고에 근접 할 수 있도록 Fuzzy 이론과 Default 이론을 도입하고 전문가의 이론적 지식과 숙련자의 감각적 지식을 적극 수용 하여 연소용 Expert system (최적 가공 조건의 설정 System과 Trouble shooting system)을 개발하였다. 또한 연소 가공 Data의 불확실한 애매성을 효과적으로 이용 할 수 있도록 Fuzzy 가능성이론에 의해 가공 Datad을 회귀 분석하여 실가공 Data base에 축적시켜 재활용토록 설계하었으며 개발된 본 System 의 실행 결과 그 활용성이 높음을 입증하였다.