• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2002년도 춘계학술대회논문집
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• pp.245-250
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• 2002

The operational data of diesel generator engine is two kind of discrete signal and analog signal. We can find the fault information from analog data measured for every sampling time if it is invested the changing rate or direction of data. This paper propose the Malfunction Diagnosis Engine(MDE) using the commercial data mining tool and show the data Process and fault finding method with the data collected from generator engine of the ship.

• 한국생산제조학회지
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• 제23권6호
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• pp.624-629
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• 2014

The purpose of this study is to carry out the task of engine hesitation which occurred intermittently in driving due to the defective CKPS of LPI vehicles. As the result of the wrong data from the equipment of D-logger, the signal error of CKPS caused the engine hesitation. We performed a study in the followings to analyze and investigate the cause effectively. First, we have investigated the control wiring harness and connector pin contact defect inspection. Second, we have inspected the defection of CKPS separately. From this study, it was found that the engine hesitation were caused by the bad durability and we have showed how to diagnosis the fault of the engine hesitation intermittently while driving. Therefore, it is determined that we have to improve the durability of the CKPS through a strict quality control and to increase the reliability.

• 대한기계학회논문집A
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• 제35권11호
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• pp.1529-1535
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• 2011

해상 운송 분야와 발전 플랜트 분야에서 사용되는 엔진은 저 중속에서 운전효율향상이 계속해서 요구되고 있다. 엔진의 운전효율향상을 위해서는 엔진상태를 나타내는 변수의 확인이 반드시 필요하다. 지금까지 가스압력, 가스온도, 진동 등이 주요변수로써 제안되고 있으나 이 변수들은 응답속도와 진단 정확성에 한계가 있다. 본 연구에서는 엔진 크랭크 축 각속도 변화를 수치화한 EFR(Engine Fitness Ratio)을 검출하고, 이를 기반으로 엔진의 상태를 진단하는 기법을 개발하였다. EFR은 주파수 영역에서 특정 주파수의 비로써 정의되며 엔진상태를 나타낸다. EFR은 크랭크 각속도의 변화 거동으로부터 계산되며, EFR을 이용한 엔진 상태진단 기법을 실제 선박 추진용 저속엔진을 이용한 실험과 발전용 중속엔진을 이용한 해석을 수행하여 엔진의 이상 발생 감지가 가능함을 검증하였다.

• 한국항공우주학회지
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• 제50권10호
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• pp.717-727
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• 2022

엔진 구성품의 결함 및 열화 등의 건전성 진단을 위한 알고리즘을 구현하였다. 이를 위해서 터보팬엔진 모델로부터 성능 진단모델을 도출하고 진단변수 추적필터를 이용하여 실시간 결함 및 건전성을 추정한 후 효과적인 중간값 필터를 통해 이상 잡음을 제거함으로써 오경보 발생을 최소화하였다. 여기에 단차 결함 탐지 기법을 적용하여 결함과 열화를 식별하였고, 운전 중 구성품의 결함 및 건전성을 분명히 구분하여 진단할 수 있도록 하였다. 엔진 구성품의 결함 및 열화 발생의 모사를 통해서 구현된 알고리즘의 효용성을 확인하였다.

• Journal of Advanced Marine Engineering and Technology
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• 제38권6호
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• pp.744-750
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• 2014

선박용 디젤엔진의 상태 감시 및 이상 경보에 대한 신속하고 적절한 조치는 선박 운항에 있어서 안전성 및 경제성을 위해서 매우 중요하다. 만약 유지보수 업무를 담당하는 엔지니어의 고장원인에 대한 진단 오류 등으로 인하여 적절한 조치를 취하지 못하게 되면 이는 곧 대형 사고로 이어질 수 있다. 따라서 선박용 디젤엔진의 객관적인 진단에 도움을 주는 통합 감시 및 진단 시스템이 필요하다. 본 논문에서는 실시간으로 측정된 시계열 데이터를 분석한 후, 분석된 데이터의 상태 및 변화 추이를 감시하고 이를 기반으로 진단에 도움을 주기 위한 목적을 가진 시스템의 개발에 관한 내용을 다룬다. 이러한 감시 및 진단을 수행함으로써 이상이 발생하면 신속하게 경보를 제공하여 적절한 조치를 취할 수 있게 되어 선박용 디젤엔진의 안정성이 향상된다.

• Journal of Advanced Marine Engineering and Technology
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• 제32권1호
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• pp.42-49
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• 2008

Most of vessels are not evaluated for their vibration and noise effects to human body. The vibration and noise generated by engine and auxiliary machine in vessel is a negative element for seamen. Therefore, in this paper, the diagnosis and evaluation of vibration and noise from vessel is accomplished by a shipbuilding corporation. The vibration and noise transferred from engine room and auxiliary machine was measured during the steady-state operation, and the vibration and noise map of vessel was made. Also, in order to evaluate the ship environment for human, the diagnosis is carried out on the base of measurement results.

• International Journal of Automotive Technology
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• 제6권4호
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• pp.341-350
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• 2005

In this study, fault diagnosis and monitoring of serial wound pre-engaged starter motors have been carried out. Starter motors are DC motors that enable internal combustion engine (ICE) to run. In case of breakdown of a starter motor, internal combustion engine can not be worked. Starter motors have vital importance on internal combustion engines. Kohonen network based fault diagnosis system is proposed for fault diagnosis and monitoring of starter motors. A graphical user interface (GUI) software has been developed by using Visual Basic 6.0 for fault diagnosis. Six faults, seen in starter motors, have been diagnosed successfully by using the developed fault diagnosis system. GUI software makes it possible to diagnose the faults in starter motors before they occur by keeping fault records of past occurrences.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2005년도 전기학술대회논문집
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• pp.321-325
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• 2005

These days, it is needed that more stability and reliability of Diesel engine. So it is essential that a systematic and comprehensive fault diagnosis analysis technology. this technology makes fault diagnosis analysis system more efficient. Expert System is required to make fault diagnosis analysis system. In this paper, fault and early diagnosis system is implemented to use Expert System development tools.

• Journal of Advanced Marine Engineering and Technology
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• 제30권2호
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• pp.253-259
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• 2006

There is few study which automatically diagnoses the fault from ship's monitored data. The bigger control and monitoring system is. the more important fault diagnosis and maintenance is to reduce damage caused by system fault. This paper proposes fault diagnosis system using a correlation analysis algorithm which is able to diagnose and forecast the fault from monitored data and is composed of fault detection knowledge base and fault diagnosis knowledge base. For all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem, To verify capability of fault detection, diagnosis and prediction, FMS(Fault Management System) is developed by C++. Simulation by FMS is carried out with population data set made by the log book data of 2 months duration from a large full container ship of H shipping company.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2005년도 전기학술대회논문집
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• pp.251-256
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• 2005

There is few study which automatically diagnose the fault from ship's monitored signal. The bigger control and monitoring system is, the more important fault diagnosis and maintenance is to reduce damage brought forth by system fault. This paper proposes fault diagnosis system using a correlation analysis algorithm which is able to diagnose and forecast the fault and is composed to fault detection knowledge base and fault diagnosis knowledge base. 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 verifying capability of fault detection, diagnosis and prediction, Fault Management System(FMS) is developed by C++. Simulation experiment by FMS is carried out with population data set made by log book data of 2 months duration from a large full container ship of H shipping company.