• 한국항공운항학회지
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• 제31권2호
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• pp.81-88
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• 2023

SHM (Structural Health Monitoring) technique for monitoring aircraft structural health and damage, EHM (Engine Health Monitoring) for monitoring aircraft engine performance, and APM (Application Performance Management) is used for each function. APMS (Airplane Performance Monitoring System) is a program that comprehensively applies these techniques to identify the difference between the performance manual provided by the manufacturer and the actual fuel mileage of the aircraft and reflect it in the flight plan. The main purpose of using APMS is to understand the performance of each aircraft, to plan and execute flights in an optimal way, and consequently to reduce fuel consumption. First, it is to check the fuel efficiency trend of each aircraft, check the correlation between the maintenance work performed and the fuel mileage, find the cause of the fuel mileage increase/decrease, and take appropriate measures in response. Second, it is to find the cause of fuel mileage degradation in detail by checking the trends by engine performance and fuselage drag effect. Third, the APMS is to be used in making maintenance work decisions. Through APMS, aircraft with below average fuel mileage are identified, the cause of fuel mileage degradation is identified, and appropriate corrective actions are determined. Fourth, APMS data is used to analyze the economic analysis of equipment installation investment. The cost can be easily calculated as the equipment installation cost, but the benefit is fuel efficiency improvement, and the only way to check this is the manufacturer's theory. Therefore, verifying the effect after installation and verifying the economic analysis is to secure the appropriateness of the investment. Through this, proper investment in fuel efficiency improvement equipment will be made, and fuel efficiency will be improved.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2012년도 제38회 춘계학술대회논문집
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• pp.586-591
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• 2012

군산 복합화력 발전소에서 운용중인 가스터빈 엔진의 정비 의사 결정을 지원하기 위한 솔루션을 개발하였다. 솔루션은 온라인 상태감시, 기간별 성능 경향분석, 최적 압축기 세정주기 분석, 고온부품 관리 모듈로 구성되어 있다. 운용자가 엔진의 상태 분석 결과를 쉽게 모니터하고 그에 따른 정비의사를 결정할 수 있도록 GUI 플랫폼을 적용하였다. 온라인 상태감시 모듈에서는 기준 성능 대비 실시간 계측데이터의 차이를 분석하여 엔진의 성능저하율을 가시적으로 제시한다. 최적 압축기 세정주기 분석 모듈에서는 경제성 평가 알고리즘을 통해 정비 소요 비용과 성능 저하에 따른 비용 손실의 분석을 통해 순이익이 최대가 되는 세정주기를 제시한다. 엔진의 상태 및 주요 정보를 종합적으로 분석하여 제공함으로써 최적 정비 및 운용이 가능하도록 의사 결정을 지원한다.

• 한국추진공학회지
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• 제21권5호
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• pp.108-120
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• 2017

가스터빈 엔진의 건전성 관리기술은 엔진의 개발과 병행하여 60년간 지속적으로 발전한 분야로써 시스템 성능관측 및 유지보수 차원에서 매우 중요하게 다루어져왔다. 이 기술은 진보된 측정기술, 전자공학 및 소프트웨어 기술 그리고 신뢰성 있는 모델 개발과 같은 다양한 기술을 기반으로 하고 있으며, 각 분야의 기술적 발전에 힘입어 상용화 되었다. 본 논문에서는 선진국에서의 과거 건전성 관리기술 발전 역사를 되짚어 보고, 어떠한 연구로 현재까지 이어져 왔으며, 향후 어떻게 발전해 갈 것인지 살펴보았다. 마지막으로 국내의 연구동향을 살펴보고 선진국 대비 현재의 우리의 현황을 비교 분석함으로써, 관련 기술을 실용화 하고 체계화하기 위한 연구방향에 대해 제안하였다.

• Environmental Analysis Health and Toxicology
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• 제29권
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• pp.9.1-9.3
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• 2014

Diesel exhaust particles (DEP) contain elemental carbon, organic compounds including Polyaromatic hydrocarbons (PAHs), metals, and other trace compounds. Diesel exhaust is complex mixture of thousands of chemicals. Over forty air contaminants are recognized as toxicants, such as carcinogens. Most diesel exhaust particles have aerodynamic diameters falling within a range of 0.1 to $0.25{\mu}m$. DEP was classified as a definite human carcinogen (group 1) by the International Agency for Research on Cancer at 2012 based on recently sufficient epidemiological evidence for lung cancer. Significant decreases in DEP and other diesel exhaust constituents will not be evident immediately, and outworn diesel car having longer mileage still threatens health of people in spite of recent remarkable development in diesel engine technology. Policy change in South Korea, such as introduction of diesel taxi, may raise health risk of air pollution in metropolitan area with these limitations of diesel engine. To protect people against DEP in South Korea, progressive strategies are needed, including disallowance of diesel taxi, more strict regulation of diesel engine emission, obligatory diesel particulate filter attachment in outworn diesel car, and close monitoring about health effects of DEP.

• International Journal of Aeronautical and Space Sciences
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• 제10권2호
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• pp.34-42
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• 2009

Gas turbine performance diagnostics is a method for detecting, isolating and quantifying faults in gas turbine gas path components. On-line precise fault diagnosis can promote greatly reliability and availability of gas turbine in real time operation. This work proposes a GUI-type on-line diagnostic program using SIMULINK and Fuzzy-Neuro algorithms for a helicopter turboshaft engine. During development of the diagnostic program, a look-up table type base performance module are used for reducing computer calculating time and a signal generation module for simulating real time performance data. This program is composed of the on-line condition monitoring program to monitor on-line measuring performance condition, the fuzzy inference system to isolate the faults from measuring data and the neural network to quantify the isolated faults. Evaluation of the proposed on-line diagnostic program is performed through application to the helicopter engine health monitoring.

• Journal of information and communication convergence engineering
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• 제15권2호
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• pp.85-90
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• 2017

Expert systems for health diagnosis are only for medical experts who have deep knowledge in the field but we need a self-checking pre-diagnosis system for preventive public health monitoring. Korea Traditional Medicine is popular in use among Korean public but there exist few available health information systems on the internet. A computerized self-checking diagnosis system is proposed to reduce the social cost by monitoring health status with simple symptom checking procedures especially for Korea Traditional Medicine users. Based on the national reports for disease/symptoms of Korea Traditional Medicine, we build a reliable database and devise an intelligent inference engine using fuzzy c-means clustering. The implemented system gives five most probable diseases a user might have with respect to symptoms given by the user. Inference results are verified by Korea Traditional Medicine doctors as sufficiently accurate and easy to use.

• 한국산업정보학회논문지
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• 제14권4호
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• pp.65-74
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• 2009

맨홀, 지하정화조, 저장탱크, 밀폐공간 등의 유해 작업장은 환기가 불충분한 상태에서 산소결핍, 유해가스로 인한 건강장해와 인화성 물질에 의한 화재, 폭발 등의 위험이 있다. 이와 같은 유해환경 정보를 작업장 내의 센서를 통해서 실시간으로 모니터링하고, 위험으로부터 작업자의 안전을 보장할 수 있는 시스템이 필요하다. 이 논문에서는 작업장의 유해환경을 모니터링하기 위한 추론엔진을 설계한다. 제안하는 추론엔진은 규칙기반 시스템의 구조를 가지며 JESS를 활용한다. 제안 시스템은 특정 컴퓨팅 플랫폼에 제약되지 않으며 OSGi 기반의 미들웨어와 연동이 쉬운 특징을 가진다.

• Smart Structures and Systems
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• 제5권2호
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• pp.139-152
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• 2009

Globally, civil infrastructures are deteriorating at an alarming rate caused by overuse, overloading, aging, damage or failure due to natural or man-made hazards. With such a vast network of deteriorating infrastructure, there is a growing interest in continuous monitoring technologies. In order to provide a true distributed sensor and control system for civil structures, we are developing a Structural Nervous System that mimics key attributes of a human nervous system. This nervous system is made up of building blocks that are designed based on mechanoreceptors as a fundamentally new approach for the development of a structural health monitoring and diagnostic system that utilizes the recently developed piezo-fibers capable of sensing and actuation. In particular, our research has been focused on producing a sensory nervous system for civil structures by using piezo-fibers as sensory receptors, nerve fibers, neuronal pools, and spinocervical tract to the nodal and central processing units. This paper presents up to date results of our research, including the design and analysis of the structural nervous system.

• 한국항공우주학회지
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• 제37권12호
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• pp.1238-1244
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• 2009

본 연구는 헬리콥터용 터보축엔진의 온라인 상태진단을 위해 퍼지-신경망 알고리즘을 제안하였고 GUI 형태의 SIMULINK프로그램으로 개발하였다. 진단 프로그램 개발을 위해 look-up 테이블 형식 기본 성능 모듈로 계산시간을 줄였고 실시간 성능 데이터를 획득하기위해 신호 생성 모듈을 사용하였다. 이 프로그램은 계측성능상태를 모니터링하기위한 온라인 상태모니터링 프로그램과 계측데이터와 퍼지를 이용한 정성적인 상태진단과 신경 회로망을 이용한 정량적인 상태진단으로 이루어진다. 제안된 온라인 진단 프로그램은 헬리콥터엔진의 상태모니터링에 적용 가능여부를 확인하기 위하여 터보샤프트 엔진을 대상으로 검증하였다.

• International Journal of Aeronautical and Space Sciences
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• 제17권4호
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• pp.535-550
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• 2016

Securing the safety and the reliability of liquid-propellant rocket engines (LREs) for space vehicles is indispensable as engines consist of many complex components and operate under extremely high energy-dense conditions. Thus, health monitoring has become a mandatory requirement, especially for the reusable LREs that are currently being developed. In this context, a dynamic simulation program based on MATLAB/Simulink was developed in the current research on the Space Shuttle Main Engine (SSME), a partly reusable engine. Then, a series of fault simulations using this program was conducted: at a steady state operating condition (104% Rated Propulsion Level), various simulated fault conditions were artificially injected into the simulation models for the five major valves, the pumps, and the turbines of the SSME. The consequent effects due to each fault were analyzed based on the time responses of the major parameters of the engine. It is believed that this research topic is an essential pre-step for the development of fault detection and diagnosis algorithms for reusable engines in the future.