• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.23 no.4
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• pp.198-203
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• 1987

The basis of all approaches to improve reliability of marine engines exists in analyzing the field data of troubles and failures on marine engines. This paper analyses the data of troubles and failures on marine engines by Principal Component Analysis Method, one of Multivariate Data Analysis Method. The total number of data investigated is 211 and the observation period is 9 years. The analyzed factors are categorized among five groups respectively; electric.automatic control equipments, auxiliary machinery, pipings, refrigerators.air conditioners, and main engine. The failures in main engine are discovered by a definite fact of disorder, on the contrary, the failures in auxiliary machinery, refrigerators and air conditioners are discovered by sensible judgement of the operators.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2007.12a
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• pp.269-271
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• 2007

현재 세계 각지에는 선박이 통항하는 항행수역에 해상교량이 건설되고 있다. 이와 동반하여 선박이 해상교량에 충돌하는 사고가 발생하고 있다. 우리나라에서도 2009년 인천 제2연육교의 완성과 더불어 선박이 통항하는 항행수역에 해상교량이 건설되는 경우가 많아지고 있다. 이러한 해역에 건설된 해상교량은 선박의 항행수역에 건설되기 때문에 타와 주기관의 고장 등으로 선박이 해상 교량에 충돌할 가능성이 있다. 이 연구에서는 이러한 충돌사고 예방을 위하여 외국 및 우리나라의 해상교량과 관련한 해양사고 발생 현황 및 원인에 대하여 조사하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.178-180
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• 2016

연안선은 중 대형선에 비하여 사고의 위험이 높고 작업 환경이나 안전에 대한 시스템적인 완성도가 매우 취약하다. 또한 바쁜 운항 스케줄과 승무원의 자질등의 여건으로 인하여 비상대응훈련이 잘 시행이 되지 않는 것이 현실이다. 여기에 현재 시행중인 훈련에 대한 시나리오도 중 대형선의 시나리오를 가지고 수정해서 사용하는 경우가 많고 본선에 적합하지 않는 훈련 시나리오를 가지고 훈련을 하는 경우도 많다. 본 연구는 이러한 문제점을 개선하고 연안선의 현실에 맞는 시나리오를 개발 및 자발적 참여유도를 통하여 연안선에서 시행되는 훈련의 효과를 증대시키고 나아가 안전한 해양문화에 이바지하는데 그 의의가 있다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.4
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• pp.49-54
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• 2012

In this paper, a software policy considering testing time and the number of errors corrected is presented. The software is tested until a specified testing time or the time to a specified number of errors are corrected, whichever comes first. The model includes the cost of error correction and software testing during the testing time, and the cost of error correction during operation. It is assumed that the length of software life cycle has no bounds, and the error correction follows an non-homogeneous Poisson process. An expression for the total cost under the policy is derived. It is shown that the model includes the previous models as special cases.

• Journal of Advanced Marine Engineering and Technology
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• v.40 no.3
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• pp.185-190
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• 2016

Damages of the main engine aftmost bearing and the after stern tube bearing tend to increase due to misalignment. And as the shafting system becomes stiffer due to the large engine power, whereas the hull structure becomes more flexible due to optimization by using high tensile thin steel plates. And this is the reason that more sophisticated shaft alignments are required. In this study, the optimum shafting alignment calculation was carried out, considering the thermal expansion effect, exploiting the sensitivity index, which indicates the reasonable position of forward intermediate shaft bearing for shaft alignment. and as the main subject in this study, the elastic deformation on intermediate shaft and main engine bearings occurred by vertical load of shaft mass were examined thoroughly and analyzed allowable load of bearings, reaction influence numbers of all bearings. As the result, a reliable optimum shafting alignment was derived theoretically. To verify these results, they were referred to the engine maker's technical information of main engine installation and being used shafting alignment programs of both Korean Register of Shipping and Det Norske Veritas, their reliability were reviewed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.81-86
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• 2014

In this paper, a jointly optimal group replacement and spare provisioning policy is presented. Most maintenance policies assume that the spare inventory is always available, but in practice the maintenance schedule is affected by the availability of spare inventory. We present a maintenance-inventory model which jointly optimizes the group replacement interval and spare ordering quantity. Group replacement policy is used when a group of units are put in operation simultaneously. The operating fleet is replaced altogether at a predetermined number of units are failed. A sufficient level of spare inventory is carried to perform a number of group replacement. A cost rate expression which considers the group maintenance cost and inventory holding cost is derived and a heuristic method for searching the optimum value of decision variables is suggested. Numerical examples demonstrate the analytical results and the performance of the presented model.