• Journal of Korea Fishing Vessel Association
• /
• v.35
• /
• pp.61-64
• /
• 1988

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.06a
• /
• pp.438-440
• /
• 2022

자율운항선박 기술개발사업 중 2세부(자율운항선박 핵심 기관시스템 성능 모니터링 및 고장예측 진단 기술 개발)과제에서 자율운항선박 핵심장비 중 보조기기 2종(Pump, Purifier), 배관(Seawater Pipe, Steam Pipe)의 실시간 모니터링 및 고장예측 시스템의 연구 및 개발을 목표로 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2023.11a
• /
• pp.111-113
• /
• 2023

자율운항선박 기술개발사업 중 2세부(자율운항선박 핵심 기관시스템 성능 모니터링 및 고장예측 진단 기술 개발)과제에서 자율운항선박 핵심장비 중 증기 배관(Steam Pipe)의 모니터링 및 고장예측 시스템 중 열화상 카메라에 의한 증기 배관(Steam Pipe)을 브라우저에서 모니터링 하는 시스템을 연구 및 개발 목표로 한다.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.26 no.3
• /
• pp.303-307
• /
• 1990

In this paper, the factors of 1680 marine casualties occurred during 1986-1988 are analysed by the Principal Component Analysis. The main results are as follows: 1. Most of marine casualties result from the human factors such as careless operation and insufficient engine maintenance. Engine trouble is main part of accidents and great number of accidents is rated for fishing vessels. 2. Accidents are serious in case of cargo ships, passenger ships and tankers from the point of view of the damage of human life and properties. On the other hand, those are not so serious matter in case of fissing vessels and governmental vessels. 3. Grounding, collision and capsizal mainly result from careless operation, however material defect result in flooding

• Journal of Advanced Marine Engineering and Technology
• /
• v.27 no.1
• /
• pp.42-48
• /
• 2003

In general many engineers can diagnose the fault condition using the abnormal ones among data monitored from a diesel engine, but they don't need the system modelling or identification for the work. They check the abnormal data and the relationship and then catch the fault condition of the engine. This paper proposes the construction of a fault diagnosis engine through malfunction data gained from the data fault detection system of neural networks for diesel generator engine, and the rule inference method to induce the rule for fuzzy inference from the malfunction data of diesel engine like a site engineer with a fuzzy system. The proposed fault diagnosis system is constructed in the sense of the Malfunction Diagnosis Engine(MDE) and Hierarchy of Malfunction Hypotheses(HMH). The system is concerned with the rule reduction method of knowledge base for related data among the various interactive data.

• Proceedings of the Korean Society of Marine Engineers Conference
• /
• 2002.05a
• /
• pp.233-238
• /
• 2002

This paper propose the construction of fault diagnosis engine for diesel generator engine and rule inference method to induce rule for fuzzy inference from the monitored data of diesel engine. The proposed fault diagnosis system is constructed the Malfunction Diagnosis Engine(MDE) and Hierarchy of Malfunction Hypotheses(HME), It is Proposed the rule reduction method of knowledge base for concerning data among the various analog data.

• Journal of Advanced Navigation Technology
• /
• v.15 no.1
• /
• pp.18-24
• /
• 2011

This paper proposes fault diagnosis system which is able to diagnose the fault from present operating condition by analyzing monitored signals with present ship monitoring system without additional sensors. For this all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem by analyzing ship's operation data. To extract dynamic characteristics of these subsystems, log book data of container ship of H shipping company are used.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.12 no.2
• /
• pp.29-37
• /
• 1998

This paper describes the fault diagnosis based on real-time data of the inverter system for brush less DC motor drive. After identifying all the fault types in the inverter system, a preliminary typical analysis of fault types has been classified into the key fault symptoms. The predicted fault performances are then substantiated by using ACSL(Advanced Continuous Simulation Language), and the simulated results are composed of knowledge-base. The real-time measured data from the inverter system are compared with the simulated knowledge-base through the inference engine of expert system, which have been used to diagnose the fault causes. If some faults may occur in the inverter system, this system will be stopped. And then the expertise of elimination and remedial strategies about the fault causes, will be supplied rapidly to operator who doesn't know well about the inverter drive system.system.

• Journal of Korea Fishing Vessel Association
• /
• v.71
• /
• pp.18-20
• /
• 1998

• Journal of Korea Fishing Vessel Association
• /
• v.69
• /
• pp.60-64
• /
• 1997