• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2012.04a
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• pp.745-745
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• 2012

원자력발전소에서 비상디젤발전기는 노심의 안전성을 지키는 매우 중요한 역할을 담당하고 있다. 이를 위해 디젤발전기는 신뢰성능 높게 유지하도록 규제요건이 마련되어 있다. 디젤발전기의 엔진 상태를 주기적으로 감시하고 평가하기 위해서는 엔진 상태 신호 분석 기술이 필요하다. 엔진 상태 신호 분석에는 연소분석과 진동 및 초음파 측정 및 분석기술이 중요한 비중을 차지한다. 연소 분석은 디젤 엔진의 개별 실린더에 대한 연소 성능에 대한 정보를 제공한다. 진동 및 초음파 분석은 이벤트 타이밍과 기계적 상태에 대한 정보를 알려준다. 이들 신호는 정상적인 부하로 운전하는 디젤엔진의 가동에 영향을 미치지 않고 수집할 수 있다. 엔진 상태 신호 분석을 이용하는 주요 동기는 전통적으로 장비 제작자의 권고에 따라 수행되는 분해-검사 유지 보수 프로그램을 일부 대체하고 예측정비를 통해 신뢰도를 유지하기 위함이다. 상태 진단정비는 엔진 상태 신호분석을 주로 이용하여 엔진의 신뢰도와 이용률을 증가시킬 수 있다. 본 논문에서는 국내외서 경험한 엔진상태신호 측정 및 분석 사례를 기술하였다.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2010.05a
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• pp.578-579
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• 2010

최근 내연 기관에서 엔진상태 및 잠재적인 결함의 발견을 위해 연료분사, 실린더 내 연소과정, 실린더 내부와 피스톤 마모상태, 흡 배기 밸브 및 과급기 (turbocharger) 등의 상태 모니터링을 통해서 결함에 대한 진단 및 경향관리에 대한 연구들이 진행되고 있다. 본 연구에서는 기 개발된 선박용 대형디젤엔진에 대한 상시 모니터링 시스템을 이용하여 엔진상태 및 잠재적인 결함을 진단하고자 하였으며, 일차적으로 가속도 신호를 이용하여 실린더 내 연소과정에서 정상적인 상태와 착화실패에 따른 진동 양상을 비교 분석하였다. 신호 분석 기법으로 시간-주파수 분산 기법들은 충격파 신호인 엔진 폭발신호를 분석하는데 적합하였으며, 그 기법들 중 Short Time Fourier Transform 기법과 Wavelet Transform 기법을 이용하였다.

• Journal of Advanced Marine Engineering and Technology
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• v.38 no.3
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• pp.233-239
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• 2014

The accurate engine output is basically one of important factors for the analysis of engine performance. Nowadays in-cylinder pressure analyzer in internal combustion engine is also an indispensable tool for engine research and development, environment regulation and maintenance of engine. The combustion analysis is desperately needed in order to induce a correct judgment on the condition of the engine and suggest the specific ways to improvement as well as the correct engine output. And these tool is advantageous to reduce fuel consumption and maintenance of the engine. In this study, using the developed measuring kit, combustion analysis of marine generator engine which was adapted as test engine was carried out. It was verified that the good operation condition of the engine as well as contributing to fuel savings by checking and readjusting accurately the irregular combustion of the test engine were accomplished. From the results all above, it was recognized that the measuring kit by new method for engine output was developed and verified for its utilities.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2012.05a
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• pp.586-591
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• 2012

The solution of maintenance decision support system for the gas turbine engine, which is currently operating in GUNSAN combined cycle power plant, was developed and is consist of online monitoring module, periodic performance trending module, optimal compressor washing interval analysis module and hot component management module. Also, GUI platform was applied to this solution for the user to monitoring the analyzed result of engine performance condition and then to make a decision of the consequent maintenance action. In online condition monitoring module, the performance degradation of engine is provided by the analysis of difference between the real time measurement data compared to exist engine performance. The optimal compressor washing interval module produced the washing interval of maximum net profit value by researching the maintenance expense and the loss profit value corresponds to the performance degradation with economic assessment algorithm. Thus, this solution support the user to enable the optimal maintenance and operation of gas turbine engine with overall analysis of engine condition and main information.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.1203-1205
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• 1987

가솔린 엔진용 전자 제어 에뮬레이션 시스템은 엔진의 운전 상태를 알려 주는 각종 센서로 감지한 정보를 A/D변환기를 통해 마이크로프로세서에 입력시키고, 이 정보를 이용하여 운전 상태를 분석한 후 엔진이 푤요로 하는 연료량, 점화시기, 배기가스의 재순환량, 공회전수 등을 전자적으로 제어하여 엔진의 최적제어를 실현시킴으로서 연료소비율 및 배기가스 중 공해물질 함량을 감소시키기 위한 장치이다.

• Journal of the Korean Society of Propulsion Engineers
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• v.25 no.2
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• pp.88-97
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• 2021

The controller of the gas turbine engine is a component that needs to be developed for the development of the gas turbine engine because it is impossible to get the technology transferred from the engine manufacturer due to the import and export regulation. As a part of the engine control logic research, the Korea Aerospace Research Institute conducted a failure diagnostic research using a small gas turbine engine. Before simulating the engine fault, the ground test was performed to analyze normal behavior and performance of engine. Afterwards, the control logic analysis test equipment was established to simulate various engine fault. It is intended to provide background knowledge to engine control logic research for various engine failure conditions.

• Journal of the Korean Society of Propulsion Engineers
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• v.10 no.3
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• pp.82-89
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• 2006

Recently operation and maintenance cost of gas turbine engines has been issued as a major parameter in terms of designing and manufacturing. Accordingly, the conception that the maintenance and repair of an engine has to be conducted in assembled condition has been spreaded out. However, it is possible only if the prediction of the engine performance is clearly identified. In this study, therefore, a diagnostic code of the engine performance has been developed by using GPA(Gas Path Analysis) and Fuzzy Logic which can analyze the engine performance and estimate the health parameters. The prediction of the quantitative performance deterioration of the established model of the turbo-shaft engine for SUAV has been achieved in a satisfied level compared to that obtained by GSP code.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2007.11a
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• pp.345-349
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• 2007

In this study a fuzzy trend monitoring method for detecting the engine mechanical faults was proposed through analyzing performance trends of measurement data. The trend monitoring is an engine conditioning method which can find engine faults by monitoring important measuring parameters such as fuel flow, exhaust gas temperatures, rotational speeds, vibration. etc. Using engine condition data set as a input which generated by linear regression analysis of real engine instrument data, an application of fuzzy logic in diagnostics estimate a cause of fault in each components.

• Journal of the Korean Society of Propulsion Engineers
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• v.12 no.6
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• pp.1-6
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• 2008

This work proposes a fuzzy trend monitoring method for the fault detection of a gas turbine engine through analyzing measured performance data trend. The proposed trend monitoring technique can diagnose the engine status by monitoring major engine measured parameters such as fuel flow rate, exhaust gas temperature, rotor rotational speed and vibration, and then analyzing their time deppendent changes. In order to perform this, firstly the measured engine performance data variation is formulated using Linear Regression, and then faults are isolated and identified using fuzzy logic.

• Journal of the Korean Society for Marine Environment & Energy
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• v.15 no.1
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• pp.25-29
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• 2012

In this paper, in order to measure the degree of degradation using the reflection coefficient of the probe, the measuring circuit is designed. we put pulse signal into the probe and measure the reflected signal in the circuit. As the condition of engine oil degradation, we can see that the reflected signal was increased and as the engine oil temperature increases, a phenomenon shows that the degradated dielectric constant is decreased. Finally, the theoretical values and measured values of the reflection coefficients of the probe are analyzed.