• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.315-322
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• 1999

설비에 고장이 발생하여 고객이 수리를 요청하기 전에 미리 고객을 방문하여 예방점검을 실시하는 것은 고객의 만족도를 높이고 수리기술자의 효과적인 활용을 위해서 매우 중요한 활동이다. 본 연구에서는 설비에 고장이 발생하여 수리가 이루어진 후에 그 설비의 다음 고장은 언제 발생할 것인가를 예측하기 위하여 사례기반 추론을 적용하였다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.315-322
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• 1999

설비에 고장이 발생하여 고객이 수리를 요청하기 전에 미리 고객을 방문하여 예방점검을 실시하는 것은 고객의 만족도를 높이고 수리기술자의 효과적인 활용을 위해서 매우 중요한 활동이다. 본 연구에서는 설비에 고장이 발생하여 수리가 이루어진 후에 그 설비의 다음 고장은 언제 발생할 것인가를 예측하기 위하여 사례기반 추론을 적용하였다.

• The Korean Journal of Applied Statistics
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• v.12 no.1
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• pp.203-211
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• 1999

수리 가능한 시스템의 평균고장간격시간에 대한 많은 연구들이 진행되어 왔으며, 그 대부분은 n번째 고장발생시각 $T_n$을 관측한 후 그 다음 고장이 발생할 때까지의 평균시간, 즉 E($T_{n+1}$-$T_n$$\mid$$T_n$ = $t_n$)에 관한 연구들이었다. 본 연구에서는 수리가능한 시스템의 고장이 와이블과정을 따라 일어날 경우, n번째와 n+1번째 고장간의 평균고장간격시간 E($T_{n+1}$-$T_n$)에 대한 불편추정량을 구하고 일치성 및 근사적 정규성을 증명하였다.

• The Korean Journal of Applied Statistics
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• v.24 no.3
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• pp.515-521
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• 2011

In this paper we consider failure detection equipment that which find failures in repairable systems and enable repair operations. In practical situations, failure detection equipment may come across troubles that can cause the omissions in detecting system failures and have a serious effect on system reliability. We analyze this effect through the appropriate modeling of Markov processes.

• Proceedings of the Korean Reliability Society Conference
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• 2000.11a
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• pp.315-320
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• 2000

본 연구에서는 수리 가능한 시스템에서 고장 강도와 수리 효과에 대한 모수 추정 문제를 다룬다. 시스템이 노후화로 인한 고장이 발생할 경우 최소수리가 행해지고 계획된 예방정비에서는 비례적 수명 감소가 이루어지는 수명 데이터에 대해서 고장 강도 함수의 모수와 정비의 수리효과를 추정하기 위해서 최대 우도 함수 방법을 이용한다. 또한 유전자 알고리즘을 이용해서 우도 함수를 최대화시키는 절차를 개발하고 수치 예제를 나타낸다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.1
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• pp.79-84
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• 2003

종래의 연구들은 주로 시간이 경과함에 따라 수리비용과 고장시간 간격이 고정된 상태에서 최적교환시각(T)을 구하는 조건을 발견하는데 중점을 두었으나, 대부분의 시스템은 시간이 경과할수록 고장시간간격이 좁아지고 수리비용은 증가하는 것이 일반적이다. 본 논문에서는 위의 두 조건을 만족하는 보다 현실적인 모델을 구축하였으며, 또 일정시간 내에 2개의 시스템이 존재할 때 어느 조건 하에서 시스템이 확률적으로 우월한가를 분석하는 연구를 수행하였다. 즉, 시스템은 시간이 경과함에 따라 확률 P［N=k］로서 완전수리를, 1-P［N=k］로서 소수리를 행하는 모델을 고려하였다. 여기서 N은 연속된 완전수리 사이의 소수리의 수를 나타낸다. 또한 초기고장에 있어서 수리에 의해 새로운 시스템이 되는 확률이 높고, 고장횟수가 증가함에 따라 완전수리가 행해지는 확률이 낮아지는, 보다 현실에 가까운 모델을 구축하였다. 모델을 일반화하기 위해 수리비용은 확률변수로 가정하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.3 no.1
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• pp.1-7
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• 2008

Submarine cable is the most important IT infrastructure for international communication across oceans. However, a cable fault rarely happens by ship's anchor, fishing gears, submarine earthquake, and so on, and we need to improve on repair time for the reducing expenses of cable repair ship as well as the stability of high-capacity submarine optical network. There are several kinds of cable faults such as Shunt fault, Cable cut, Open fault and Fiber break. When a fault is occurred, cable landing stations(CLS) have to analysis failure quickly and accurately to find the type and the location of a cable fault. During the repair period, CLS should swiftly perform the tests requested by cable repair ship. In order to make rapid progress on cable repair, CLS test technique is very important. So, in order to reduce the repair time, this paper is studying the CLS test techniques of locating a submarine cable fault and of checking the splicing point performed by cable repair ship.

• Proceedings of the Korean Reliability Society Conference
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• 2000.04a
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• pp.47-53
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• 2000

Brown과 Proschan의 수리모형과 이를 일반화한 Lee와 Seoh의 시스템 수리모형이 고려된다. Brown과 Proschan의 수리모형은 시스템의 고장시 완전수리가 확률 p로, 불완전수리가 확률 1-p로 이루어지는 모형이고, Lee와 Seoh의 수리모형은 시스템 고장시 완전수리와 불완전수리의 선택이 마르코프 연쇄과정에 따라 결정되는 모형이다. 본 논문에서는, 완전수리비용과 불완전수리비용을 고려한 후, 시스템의 수명분포가 지수분포, 균일분포, Weibull분포인 경우로 나누어, 위 두 시스템 수리모형에서의 최적화가 연구된다.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.399-406
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• 2013

Recently, studies about process mining for creating and analyzing business process models from log data have received much attention from BPM (Business Process Management) researchers. Process mining is a kind of method that extracts meaningful information and hidden rules from the event log of enterprise information systems such as ERP and BPM. In this paper, repair processes of electronic devices are analyzed using ProM which is a process mining tool. And based on the analysis of repair processes, the method for finding major failure patterns is proposed by multi-dimensional data analysis beyond simple statistics. By using the proposed method, the reliability of electronic device can be increased by providing the identified failure patterns to design team.

• Journal of Biosystems Engineering
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• v.6 no.1
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• pp.28-38
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• 1981

A survey has been conducted to investigate the presents of breaks down and repair of power tiller for efficient use. Eight provinces were covered for this study. The results are summarized as follows. A. Frequency of breaks down. 1) Power tiller was breaken down 9.05 times a year and it represents a break down every 39.1 hours of use. High frequency of breaks down was found from the fuel and ignition system. For only these system, the number of breaks down were 2.02 and it represents 23.3% among total breaks down. It was followed by attachments, cylinder system, and traction device. 2) For the power tiller which was more than six years old, breaks down accured 37.7 hours of use and every 38.6 hours for the power tiller which was purchased in less than 2 years. 3) For the kerosene engine power tiller, breaks down occured every 36.8 hours of use, which is a higher value compared with diesel engine power tiller which break down every 42.8 hours of use. The 8HP kerosene engine power tiller showed higher frequency of break down compared with any other horse power tiller. 4) In October, the lowest frequency of break down was found with the value of once for every 51.5 hours of use, and it was followed by the frequency of break down in June. The more hours of use, the less breaks down was found. E. Repair place 1) 45.3% among total breaks down of power tiller was repaired by the owner, and 54.7% was repaired at repair shop. More power tiller were repaired at repair shop than by owner of power tiller. 2) The older the power tiller is, the higher percentage of repairing at the repair shop was found compared with the repairing by the owner. 3) Higher percentage of repairing by the owner was found for the diesel engine power tiller compared with the kerosene engine power tiller. It was 10 HP power tiller for the kerosene power tiller and 8 HP for the diesel engine power tiller. 4) 66.7% among total breaks down of steering device was repaired by the owner. It was the highest value compared with the percentage of repairing of any other parts of power tiller. The lowest percentage of repairing by owner was found for the attachments to the power tiller with the value of 26.5%. C. Cause of break down 1) Among the total breaks down of power tiller, 57.2% is caused by the old parts of power tiller with the value of 5.18 times break down a year and 34.7% was caused by the poor maintenance and over loading. 2) For the power tiller which was purchased in less than two years, more breaks down were caused by poor maintenance in comparison to the old parts of power tiller. 3) For the both 8-10 HP kerosene and diesel engine power tiller, the aspects of breaks down was almost the same. But for the 5 HP power tiller, more breaks down was caused by over loading in comparison to the old parts of power tiller. 4) For the cylinder system and traction device, most of the breaks down was caused by the old parts and for the fuel and ignition system, breaks down was caused mainly by the poor maintenance. D. Repair Cost 1) For each power tiller, repair cost was 34,509 won a year and it was 97 won for one hoar operation. 2) Repair cost of kerosene engine power tiller was 40,697 won a year, and it use 28,320 won for a diesel engine power tiller. 3) Average repair cost for one hour operation of kerosene engine power tiller was 103 won, and 86 won for a diesel engine power tiller. No differences were found between the horse power of engines. 4) Annual repair cost of cylinder system was 13,036 won which is the highest one compared with the repair cost of any other parts 362 won a year was required to repair the steering device, and it was the least among repair cost of parts. 5) Average cost for repairing the power tiller one time was 3,183 won. It was 10,598 won for a cylinder system and 1,006 won for a steering device of power tiller. E. Time requirement for repairing by owner. 1) Average time requirements for repairing the break down of a power tiller by owner himself was 8.36 hours, power tiller could not be used for operation for 93.58 hours a year due to the break down. 2) 21.3 hours were required for repairing by owner himself the break down of a power tiller which was more than 6 years old. This value is the highest one compared with the repairing time of power tiller which were purchased in different years. Due to the break down of the power tiller, it could not be used for operation annually 127.13 hours. 3) 10.66 hours were required for repairing by the owner himself a break down of a diesel engine power tiller and 6.48 hours for kerosene engine power tiller could not be used annually 99.14 hours for operation due to the break down and it was 88.67 hour for the diesel engine power tiller. 4) For both diesel and kerosene engine power tiller 8 HP power tiller required the least time for repairing by owner himself a break down compared with any other horse power tiller. It was 2.78 hours for kerosene engine power tiller and 8.25 hours fur diesel engine power tiller. 5) For the cylinder system of power tiller 32.02 hours were required for repairing a break down by the owner himself. Power tiller could not be used 39.30 hours a year due to the break down of the cylinder system.