• Journal of the Korean Society for Aviation and Aeronautics
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• v.29 no.3
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• pp.84-99
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• 2021

Flight data from operational quality assurance programs plays a significant role in identifying factors as one of the key data in the development of proactive and preventive aviation safety management technologies based on data. The list of events in the flight quality assurance program recommended by the FAA differs from the list set and managed by airlines themselves and is based on the frequency of occurrence rather than the severity of individual events. In this work, we compared the list of FOQA events presented by the FAA with the list of some domestic airlines. We also investigate the severity priorities of events for airline captains and conduct research on how to improve the operation of the operational quality assurance program.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.210-211
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• 2021

해상 물류 영역별 정보 및 데이터 분석에 따른 단위 서비스, 이벤트 데이터 연계분석, 해상 물류 통합 프로세스 모니터링, 테이터 처리 흐름분석 및 의사 결정 지원 데이터 및 운영 효율성 개선을 위한 클라우드 운영 기반 플랫폼 기술 설계를 목표로 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.170-172
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• 2019

최근 우리나라에서는 해양사고의 효과적인 예방을 위하여 구축 중인 한국형 e-Navigation SV20-선내시스템 원격모니터링 서비스에서는 복원성, 화재, 침수, 과도경사, 항해장비의 이상과 같이 선박의 안전 운항과 직접적으로 관련이 있는 선박의 센서들을 수집, 분석하여 이상 상태와 긴급상황을 자동으로 식별하여 안전운항을 지원하는 기능이 있다. IMO 선박안전관리 시스템의 경우 선원의 인적 과실에 의한 해상에서 안전 및 해양환경 보호를 위한 핵심 요소로서 우리나라는 SOLAS 협약 제9장(선박의 안전운항을 위한 관리)및 ISM CODE를 1999년 2월 해사안전법에 수용하여 2002. 7. 1.부터 단계적으로 시행하고 있다. 이 연구에서는 이 둘의 융합 개념의 기술적 결합을 통한 체계적이고 자동화적으로 선박에서의 안전관리 능력을 제고하여 안전 사고 발생을 최소화 할 수 있는 여러 가지 시스템과 더불어 사고 발생시 효율적으로 대응할 수 있는 표준 토폴로지 기반 UI 및 항차 기반 위기대응 가이던스를 개발 하고자 한다.

• Journal of Advanced Navigation Technology
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• v.25 no.3
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• pp.248-255
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• 2021

The main causes of the July 2013 OZ 214 accident were poorly performed approach and the failure to recognize the autothrottle in the HOLD position which the automated speed control was not provided. The pilots late decision for go-around was also a critical factor leading to the accident. The B777 POM restricts the use of FLCH mode beyond the FAF. This research utilized the QAR data of an airline's B777 fleet in the period of two years where 44 cases were found. In many cases, the FLCH mode was used for rapid descent from an higher than normal situation. In addition, in the base turn, continuous use of FLCH mode even when the path was below the glide path were observed. Airports with elevation above 500 ft MSL had a higher rate of occurrence. In this research, the proper descent planning and vertical path monitoring, and the adherence to the limitation set in the manuals and the stabilized approach criteria were re-emphasized as mitigation to reduce event occurences.

• Journal of Advanced Navigation Technology
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• v.24 no.6
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• pp.515-520
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• 2020

The development of autopilot system and flight management system (FMS) equipment in today's aircraft navigation can be attributed to the reduction of pilots' workload and the navigation safety. The effect of autopilot and FMS equipment is greater, especially in heavy airport traffic or complicated of the departure. However, some airport specific departure procedures result in an uncommanded turn event due to an error in the FMS, causing aircraft to deviate from the center line of the route. With most departure procedures requiring area navigation (RNAV) operation, pilot situation awareness and corrective action are the only ways to minimize aircraft deviation to maintain the safety of area navigation. Through analysis of the occurrence status of the uncommended turn event by aircraft type, airport and flight phase, and comparative analysis of the survey results of foreign airlines and the airlines self-reduction plan with the aircraft manufacturer's corrective action, it is intended to give implications for the need for more fundamental measures to prevent recurrence of such events.

• 한국항공운항학회:학술대회논문집
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• 2015.11a
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• pp.183-185
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• 2015

A-SMGCS는 외부로부터 비행계획정보, 레이더 정보 및 기상정보를 수신하여 경로, 안내, 감시 및 항공등화 제어 기능을 수행하는데, 이러한 기능을 검정하기 위한 시뮬레이터는 기초자료 준비, 기상 시나리오 생성, 이벤트 시나리오 생성 및 항적자료 생성 등의 4가지 기능으로 구성되어 가상의 정보를 자동으로 생성하게 된다. 생성된 정보는 A-SMGCS에서 수신하여 그 정보를 바탕으로 각각의 기능들을 실행하게 되고, 그 실행 상태는 A-SMGCS HMI에 모니터링 된다. 그러므로 시뮬레이터에서 생성되는 가상의 시나리오들은 실제 공항에서 발생하거나 예측되는 모든 경우의 상황을 A-SMGCS에 제공하여 정확한 검정을 할 수 있도록 지원함으로써 A-SMGCS의 성능을 한층 더 향상시킬 수 있을 것이다. 따라서 본 논문에서는 이러한 효과가 기대되는 시뮬레이터의 기능과 연동관계를 정리하여 최적의 시뮬레이터를 제작할 수 있는 방법에 대한 연구를 실시하였다.

• Journal of Advanced Navigation Technology
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• v.25 no.1
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• pp.52-59
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• 2021

According to the International Air Transport Association (IATA), 61% of the accidents occurred during the approach and landing phase of the flight, with 16% of the accidents caused by unstable access of the commercial aircraft. It was identified that the pilot's unstable approach and poor manipulation of correction led to accidents by continuing the excessive approach without go-around manuever. The causes of unstable access may vary, including airport approach procedures, pilot error, misplanning, workload, ATC (Air Traffic Contol) congestion, etc. In this study, we use the flight data analysis system to select domestic case airports and aircraft type where unstable approach events occur repeatedly. Through flight data analysis, including main events, airport approach procedures, pilot operations, as well as various environmental factors such as weather and geographical conditions at the airport. It aims to identify and eliminate the tendency of unstable approach events and the causes and risks of them to derive implications for mitigating unstable approach events and for developing navigation safety measures.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.4
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• pp.71-85
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• 2012

This paper aims to develop an event-driven failure analysis and prognosis system that is able to monitor ship status in real time, and efficiently react unforeseen system failures. In general, huge amount of recorded sensor data must be effectively interpreted for failure analysis, but unfortunately noise and redundant information in the gathered sensor data are obstacles to a successful analysis. This paper therefore applies 'Equal-frequency binning' and 'Entropy' techniques to extract only important information from the raw sensor data while minimizing information loss. The efficiency of the developed failure analysis system is demonstrated with the collected sensor data from a marine diesel engine.

• Journal of Advanced Navigation Technology
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• v.28 no.2
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• pp.185-192
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• 2024

The aviation has improved safety through technological innovation and strengthened flight safety through safety regulations and supervision by aviation authorities. As the industry's safety approach has evolved into a systematic approach to the aircraft system, airlines have established a safety management system. Technical defects or abnormal data in an aircraft can be warning signs that could lead to an accident, and the risk of an accident can be reduced by identifying and responding to these signs early. Therefore, management of abnormal warning signs is an essential element in promoting data-based decision-making and enhancing the operational efficiency and safety level of airlines. In this study, we present a model to statistically analyze quick access recorder (QAR) flight data in the preliminary analysis stage to analyze the patterns and causes of crab landing events that can lead to runway departures when landing an aircraft, and provide a precursor to a landing event. We aim to identify signs and causes and contribute to increasing the efficiency of safety management.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.23 no.4
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• pp.102-108
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• 2015

According to various researches, one of main causes of flight accidents is influence of human factors. It is important to collect and analyze event data in advance to minimize and prevent human errors by developing safety checklist. As a result international aviation industry developed Flight Operations Quality Assurance for commercial airliners, and, upon its proven effectiveness, it is now highly recommended to adopt for helicopter operations. Consequently, S government organization instituted Helicopter Flight Operations Quality Assurance system in 2012. Hence, this study conducted regression analysis of S organization's flight event frequency and applied ICAO SMS Matrix to categorize the severity of the events according to international standards. Based on the analysis, this research derived fundamental checklist factors for helicopter, which can be a proactive measure for safe operation.