Ensuring operational safety and reliability in Unmanned Aerial Vehicles (UAVs) necessitates advanced onboard fault detection. This paper presents a novel, mobility-aware multi-sensor health monitoring framework, uniquely fusing visual (camera) and vibration (IMU) data for enhanced near real-time inference of rotor and structural faults. Our approach is tailored for resource-constrained flight controllers (e.g., Pixhawk) without auxiliary hardware, utilizing standard flight logs. Validated on a 40 kg-class UAV with induced rotor damage (10% blade loss) over 100+ minutes of flight, the system demonstrated strong performance: a Multi-Layer Perceptron (MLP) achieved an RMSE of 0.1414 and R² of 0.92 for rotor imbalance, while a Convolutional Neural Network (CNN) detected visual anomalies. Significantly, incorporating UAV mobility context reduced false positives by over 30%. This work demonstrates a practical pathway to deploying sophisticated, lightweight diagnostic models on standard UAV hardware, supporting real-time onboard fault inference and paving the way for more autonomous and resilient health-aware aerial systems.

Anomaly detection technique for the Unmanned Aerial Vehicles (UAVs) is one of the important techniques for ensuring airframe stability. There have been many researches on anomaly detection techniques using deep learning. However, most of research on the anomaly detection techniques are not consider the limited computational processing power and available energy of UAVs. Deep learning model convert to the model compression has significant advantages in terms of computational and energy efficiency for machine learning and deep learning. Therefore, this paper suggests a real-time anomaly detection model for the UAVs, achieved through model compression. The suggested anomaly detection model has three main layers which are a convolutional neural network (CNN) layer, a long short-term memory model (LSTM) layer, and an autoencoder (AE) layer. The suggested anomaly detection model undergoes model compression to increase computational efficiency. The model compression has same level of accuracy to that of the original model while reducing computational processing time of the UAVs. The proposed model can increase the stability of UAVs from a software perspective and is expected to contribute to improving UAVs efficiency through increased available computational capacity from a hardware perspective.

This study attempted to examine how the airline safety reporting system affects the go-around that may occur when flight crew members operate an aircraft. In addition, we sought to determine how the captain's awareness of command responsibility intervenes and influences the relationship between safety reporting and go-around. The results of the study showed that among the official safety reporting subfactors, Response & Feedback had a statistically significant effect on go-around(ΔR2 = .009, p < .05). In the relationship between formal safety reporting and go-around, the moderating effect of command responsibility(β = .595, p < .05) showed statistically significant results. In addition, the interaction effect between Response & Feedback and Command & Responsibility was confirmed through a simple slope test, and as a result, it had a statistically significant effect when Command & Responsibility was low.

Noise is defined as ‘unwanted sound’ or ‘undesired sound’. Recently, the aviation industry has been rapidly developing through convergence with cutting-edge technologies such as UAM. Accordingly, it is expected that new aviation industry models will continue to be created in Korea. In addition, it is expected that aircraft noise will be raised as a new social problem. The characteristic of aircraft noise is that it has a wide transmission range. Therefore, the area affected by aircraft noise is extensive, and the damage area varies depending on the flight path and flight environment. Additionally, it tends to occur continuously in certain areas. This study is an extension of the previous studies 􋺷Study on noise measurement and analysis of C172 aircraft at Muan Airport􋺸 and 􋺷Study on noise measurement and analysis of SR20􋺸, and investigated the noise characteristics of various piston engine trainer aircraft operated in Korea. We want to measure and analyze noise.

The main problem of airport noise is the impact of aircraft noise on the residents around the airport. In order to investigate the noise situation of a certain airport in South Korea, this article selects Muan Airport as the research project, selects five measurement points near the airport, takes aircraft takeoff as an example, measures the maximum noise level of each measurement point during each take off, and uses the American Airport Noise Prediction Software (AEDT 3C) to predict the noise of a single aircraft during take off, Calculate the contour area and sound exposure level data for four aircraft models. The results indicate that the average maximum noise level error between the measurement results and the simulation results is within 2dB, and the maximum noise level ranges from 65.1 to 88.1 decibels with the measurement range.

The airport is chosen as the measurement airport in this paper to investigate the noise characteristics of piston engine aircraft used for training at Muan airport. Five measurement points near the runway are chosen. The maximum noise values of piston engine aircraft (C172) and SR20 take-off processes are measured. The results show that the average maximum noise values of the five measuring points range from 66.5 dB(A) to 76.7 dB(A), with point C having the greatest noise influence. During take-off, the maximum noise of an SR20 aircraft occurs near 500Hz of low frequency.

Advancements in technology for large aircraft have led to the development of new materials for aviation. Traditional alloy-based components in aircraft, once prevalent, are now being replaced by composite materials that offer superior performance in terms of strength and operational limits. Notably, propellers have evolved from wood to composite materials, finding application in contemporary small aircraft. In this context, there is a need for research on the composite propellers of the 3-blade "W Company," based on the widely used Rotax 914 engine in South Korea. This study aims to investigate the changes in noise and thrust corresponding to variations in propeller blade angles and engine RPM, with the goal of selecting the optimal propeller pitch angle. Particularly, the "W Company's" propellers are durable and cost-effective, widely adopted in domestic aircraft. The research seeks to propose an effective method to minimize noise while maintaining the necessary thrust, contributing to the smooth operation of aircraft and promoting coexistence with local communities.

In the past, aviation technology developed from wood to alloys to composite materials. Propellers have also evolved from wood to composite materials for modern small aircraft. In this context, research is needed on a three-blade composite propeller based on the Rotax 912 engine, which is widely used in Korea. In this study, the goal is to select the optimal propeller pitch angle by investigating noise changes according to changes in blade angle and engine 4000RPM of three types of three-blade propellers different from each propeller manufacturer. By comparing the noise of the three types of propellers most commonly used in Korea and suggesting the minimum noise blade angle for each propeller, we aim to help aircraft operators select propellers and resolve noise complaints around airfields.

Aircraft noise is something humans don't want. In this study, based on the Rotax 914 engine used in Korea, the propeller blade angle was changed by 1 degree and the engine RPM was changed to review the three-wing “G Company” propeller and the three-wing GSC wooden propeller. Select the best propeller pitch angle by measuring the change in propeller noise and thrust and the change in engine RPM due to the change in noise and thrust. We would like to present a propeller pitch angle suitable for the location of the airfield and the operation of the aircraft. Based on this, we would like to help resolve noise complaints around the airfiled.

Noise is a sound that people don't want. In this study, noise is measured for SR20, a general aviation trainer used in Korea. In addition, noise measurement points are selected at Muan Airport, where most of the domestic trainers fly under the supervision of the Ministry of Land, Infrastructure and Transport, and the measured data are analyzed based on this. We also want to analyze the noise characteristics of SR20 aircraft through frequency analysis of the noise characteristics of SR20 aircraft are unique. We want to use this to understand what type of noise the trainer affects in future studies. this study will improve the reliability of the noise prediction scenario by comparing and analyzing the actual measured and predicted values when using the noise prediction program.

본 연구에서는 무인항공기인 드론을 활용한 VDMS(Vision-based Displacement Measurement System)를 통해 동적변위계측 정 확도와 동특성 추정 신뢰성 검증을 위한 동적실험을 실시하였다. 비행하는 드론의 이동 및 회전진동을 보정하기 위해 영상 내부의 변 위가 발생하지 않는 고정점을 활용한 보정밥법을 사용하였으며, 검증을 위해 설치한 범용 센서인 LVDT와 LDS의 변위계측 결과와 비 교하여 그 오차를 시간영역과 진동수영역에서 분석하였다. 3가지 타입의 장비 모두 최대 변위 도달 및 주기 운동 계측에 있어서 대체 적으로 유사한 결과를 나타내었다. LDS 기준의 오차 분석 결과, 드론과 LVDT는 가진 진동수 변화에 의한 오차 값은 미비하나, 최대 발생 변위가 작을수록 오차 값은 증가하였다.

본 연구에서는 소나무재선충의 매개충인 솔수염하늘소와 북방수염하늘소에 대하여 무인항공기 (무인헬리콥터)를 이용하여 스피네토람의 약효 및 약해를 조사하였다. 하늘소를 대상으로 등록된 펜토에이트 유제, 비펜트린 액상수화제, 하늘소를 제외한 딱정벌레가 대상인 에토펜프록 스 유제, 디플루벤주론 수화제와 나방류에 방제 약제로 등록된 인독사카브 수화제, 스피네토람 액상수화제 6종을 ULV기로 살포하여 솔수염하 늘소에 대한 섭식독과 접촉독을 확인한 후 선발하였다. ULV 시험 결과, 펜토에이트, 비펜트린, 인독사카브, 스피네토람의 33배, 55배 희석배수 액은 처리후 3일차에 접촉독과 섭식독에서 100% 살충율을 보였으나, 에토펜프록스는 7일차 접촉독 살충율 88.9%(33배), 88.9%(50배), 섭식독 살충율 93.4%(33배, 50배), 디플루벤주론은 7일차 접촉독 살충율 83.3%(33배), 섭식독 80.3%, 53.9%(50배)로 조금 낮은 살충률을 보였다. ULV 시험에서 선발된 가장 적합한 스피네토람의 33배액을 무인항공기로 살포하여 솔수염하늘소와 북방수염하늘소에 대한 감수성을 평가한 결 과, 98.6% - 100%의 살충율을 보였다. 그러나, 해당 약제의 매개충 방제에 적용하기 전에 항공 살포에 의한 꿀벌에 대한 위해성 평가가 필요할 것 으로 판단되었다.

Most domestic pilots are trained at local airfields using propeller aircraft. Training aircraft are mainly trained in the airspace around the aerodrome, and mainly take-off and landing exercises that require a lot of practice among flight control skills. Aircraft noise is a sound that humans do not want. In this study, based on the Rotax 914 engine used in Korea, the propeller blade angle was changed by 1 degree for the 3-leaf “K company” propeller and the 3-leaf GSC wooden propeller, and the engine RPM was changed to examine the noise and thrust changes. The purpose of this study is to check whether noise and thrust loss are the least at the engine's maximum RPM, and to propose an aircraft operation plan in the noisy aerodrome area based on the values.

Noise is a sound that humans do not want. In this study, noise is measured for C172, the most frequently used general aviation trainer in Korea and abroad. In addition, in this study, noise measurement points are selected for Muan Airport, where most of the domestic training aircraft fly under the supervision of the Ministry of Land, Infrastructure and Transport. Based on this, the measured data is scaled and analyzed. In addition, we intend to analyze what characteristics C172 aircraft have unique through frequency analysis of noise of C172. Through this, it is intended to understand what type of noise training aircraft affect in future studies.