Sistem Status Kelaikudaraan Pesawat Udara Berbasis Website Menggunakan Framework CodeIgniter dan PostgreSQL dengan Metode Prototype

In aircraft operation, maintenance must always be carried out so that the aircraft meets airworthiness standards in order to meet flight safety, in which maintenance is carried out on aircraft components on a regular basis. The problem that exists today is that there is frequent damage to the aircraft without any known cause, even when the aircraft is flown which results in the plane crashing and experiencing severe damage until it can no longer be used. This condition is due to the absence of a system that can monitor the aircraft maintenance process, so that the components of the aircraft used to be flown cannot be known whether it is airworthy or not. The solution to overcome this problem is by building a website-based system. The system was built using the CodeIgniter framework and PostgreSQL as its database. Meanwhile, for system development using the Prototype method. Through this system the aircraft maintenance process can be carried out according to the existing schedule.

Automating Aircraft Scanning For Inspection With A UAV And Reinforcement Learning Technique

Visual inspections of aircraft exterior surface are usually required in aircraft maintenance routine. It becomes a trend to use mobile robots equipped with sensors to perform automatic inspections as a replacement of manual inspections which are time-consuming and error-prone. The sensed data such as images and point cloud can be used for further defect characterization leveraging the power of machine learning and data science. In such a robotic inspection procedure, a precise digital model of the aircraft is required for planning the inspection path, however, the original CAD model of the aircraft is often inaccessible to aircraft maintenance shops. Thus, sensors such as 3D Laser scanners and RGB-D (Red, Green, Blue, and Depth) cameras are used because of their capability of generating a 3D model of an interested object in an efficient manner. This paper presents a two-stage approach of automating aircraft scanning with a UAV (Unmanned Aerial Vehicle) equipped with an RGB-D camera for reconstructing a digital replica of the aircraft when its original CAD model is not available. In the first stage, the UAVcamera system follows a predefined path to quickly scan the aircraft and generate a coarse model of the aircraft. Then, a full-coverage scanning path is computed based on the coarse model of the aircraft. In the second stage, the UAV-Camera system follows the computed path to closely scan the aircraft for generating a dense and precise model of the aircraft. We solved the Coverage Path Planning (CPP) problem for the aircraft scanning using Monte Carlo Tree Search (MCTS) which is a reinforcement learning technique. We also implemented the Max-Min Ant System (MMAS) strategy, a population-based optimization algorithm, to solve the CPP problem and demonstrate the effectiveness of our approach.

Psychometric Properties of the Oldenburg Burnout Inventory in a Portuguese Sample of Aircraft Maintenance Technicians

From its initial conceptualization as emotional exhaustion, cynicism, and reduced personal efficacy for the help professions, burnout has received increasing attention in modern times, especially after the 2019 WHO’s inclusion of this syndrome in the ICD-11 list. Burnout can be measured using several psychometric instruments that range in dimensionality, number of items, copyrighted, and free use formats. Here, we report the psychometric properties of data gathered with the Oldenburg Burnout Inventory (OLBI) in a sample of Portuguese Aircraft maintenance technicians. As far as we know, this is the first study addressing the burnout syndrome in this occupational group. Data gathered with the OLBI displayed good evidence of validity related to internal structure, to other variables, with good evidence of reliability. We showed that burnout significantly correlated with mental and physical fatigue emphasizing the vital critical role that these variables play with safety in the aviation industry.

MODEL OF OPERATION OF COMBAT AIRCRAFT GROUND TRANSPORTATION SERVICE SYSTEMS

The article analyzes the current state and prospects of development of systems of ground transport maintenance of aircraft, which allowed to form the purpose of the study in this development. The chosen topic is quite relevant, because effective organization of combat aircraft maintenance allows raising combat effectiveness of Ukrainian air forces. One of the directions of maintenance cost reduction is effective use of resources. The study establishes that in order to improve the quality of transport maintenance and increase the combat effectiveness of the Armed Forces and National Guard of Ukraine, it is necessary to pay attention to the use of new transport vehicles, especially modular designs and development of technology to determine the optimal distribution of transport resources for aircraft maintenance, for different conditions of the transport complex and different types of aircraft maintenance. The authors propose to consider two aircraft maintenance schemes – existing using existing technology and proposed using a modular design. In a modular design, a wheeled tractor acts as a tug, which drives mobile modules, which are special means for servicing aircraft. Such an energy-efficient vehicle may consist of 4 modules at a time. The process of delivering the cargo required for servicing the aircraft at the airport is estimated at costs, which form a set of cost values for each technological process of servicing the aircraft. The set criterion is influenced by the parameters: the cost of performing a unit of the corresponding operation, the cost of one hour of work of one worker, the time of performing the corresponding operation, the number of modules involved to perform the corresponding service, the number of aircraft. The developed models of functioning of combat aircraft maintenance systems for maintenance will allow to take into account the influence of random factors, to assess the possibility of using modular designs, as well as to determine the efficiency of existing resources on airfields in Ukraine.

A questionnaire-based musculoskeletal disorder assessment for aircraft maintenance technicians

Purpose Aircraft maintenance technician (AMT) is the most critical profession in the aircraft maintenance system. The tasks of a licensed AMT require expertise and involve repetitive physical tasks such as tightening or loosening aircraft parts, carrying or removing parts during long working hours under time pressure and day/night shifts. This study aims to attract attention to the difficult working conditions of AMTs and identify the body parts that are at risk of musculoskeletal disorder (MSD). Design/methodology/approach A questionnaire is developed by the authors to gather demographic information, use of hand tools, equipment, use of fall protection, manual material handling (lifting, pushing, pulling), load weight, environmental factors, and MSD discomfort level perceptions. The questionnaire is applied to 150 AMTs during six months period, and the obtained data are analyzed by sequential ordinal logistic regression (OLR) models. Findings The ORL results confirm that the use of equipment (lift platform, scissors lift), safety belt attached to the platform, manual material handling, environmental factors (humidity, vibration and illumination) and resting periods have a significant effect on MSD risks. On the contrary, age, experience level, use of small hand tools, temperature and noise are not identified as statistically significant. Originality/value The study is original for it considers the working conditions and perceived discomfort levels of AMTs. A questionnaire is introduced to assess the consequences of the use of tools, equipment, fall protection equipment, environmental conditions and work organization on various body parts (neck, shoulder, elbow, back, lower back, wrist-hand, hip, knee, and ankle-feet), and strain level is identified. The study contributes to the theoretical aircraft maintenance literature and managers in practice.

A Text-Driven Aircraft Fault Diagnosis Model Based on Word2vec and Stacking Ensemble Learning

Traditional aircraft maintenance support work is mainly based on structured data. Unstructured data, such as text data, have not been fully used, which means there is a waste of resources. These unstructured data contain a great storehouse of fault knowledge, which could provide decision support for aircraft maintenance support work. Therefore, a text-based fault diagnosis model is proposed in this paper. The proposed method uses Word2vec to map text words into vector space, and the extracted text feature vectors are then input into the classifier based on a stacking ensemble learning scheme. Its performance has been validated using a real aircraft fault text dataset. The results show that the fault diagnosis accuracy of the proposed method is 97.35%, which is about 2% higher than that of the suboptimal method.

Skill set issues in aircraft maintenance from industrial revolution 4.0 context: A document analytics survey

BACKGROUND: Aircraft maintenance and repair are critical tasks in the aviation industry for improved aircraft service and safety. Many articles and reports describe personnel factor and skill issues contribute to many aircraft incidents. Aircraft maintenance personnel needs to level up their skill set to match with task requirements in the setting of Industry Revolution 4.0. OBJECTIVE: The aim of this paper is to investigate document set that describe human errors and skill mismatch as a human factor in aircraft incidents and problems. It also discusses on the findings and management of the aircraft maintenance skill issues. METHODS: The study uses a document analytics tool to assess a set of online articles that discuss aircraft maintenance incidents and skill mismatch issues. The experiment is divided into four (4) modules: I collection of online articles and reports, (ii) document pre-processing, (iii) text analytics, and (iv) visualisation. RESULTS: The experiment’s results show that the majority of documents discuss aircraft maintenance, skill mismatch, and training gaps. CONCLUSION: We can conclude that the document dataset primarily discusses aircraft maintenance and skill set issues using the document analytics. Consequently, the management of aircraft maintenance workforce skill set issues by having initiatives for upskilling and reskilling Furthermore, firms should foster a culture of continuous learning and develop a mindset among their employees that allows them to adapt to new technologies and information in aircraft maintenance.

TRAINING OF FUTURE AIRCRAFT MAINTENANCE ENGINEERS FOR IMPROVING PROFESSIONAL COMMUNICATION

The aim of the paper is to study the problem of future aircraft maintenance engineers’ training for improving professional communication. Higher aviation educational institutions ensure that graduates master communication skills and acquire communication competencies that allow them to solve typical tasks of their work. Due to internalization and globalization of aviation sphere, communication in the international airports is carried out in English. However, the level of English proficiency of future aircraft maintenance engineers is not sufficient to communicate effectively while performing professional tasks. To solve the problem the pedagogical conditions of future aircraft maintenance engineers’ training for improving professional communication are suggested (enhancing motivation to communicate through active interaction and creating situations of success in the classroom; modeling professional communicative situations to ensure the practical orientation of training; use of technological innovations for self-analysis and self-education). The defined pedagogical conditions are implemented through specially chosen methods: interactive (ice-breaking, warming up activities, training exercises, etc.), case study, role playing, ICT (based on Learning Management Systems MOODLE).

Application of the multidimensional statistical analysis in the development of an integrated safety management system in an aircraft maintenance organization

Modern aviation enterprises are lots of risks-related owners associated with execution of their activities. Nowadays there are various management systems such as a Quality Management System (QMS), Safety Management System (SMS), etc., which describe all the potential risks for an organization. The problem of synchronization and unification of these systems in the framework of a comprehensive analysis of managing changes and fulfilling production operation remains unsolved at this point. To settle this problem, the article suggests using an integrated safety management system (ISMS). When developing ISMS in an aircraft maintenance organization that integrates the management systems of flight safety, quality, aviation, information, environmental safety, etc., the organization encounters the problem of data redundancy and duplication about manifestations of hazard factors in various aspects of its activities. This can make it difficult to collect and process data and take corrective/preventive measures. The issue of reasonable reduction of the original list of hazard factors can be considered as the subject of decreasing the dimension of the entity activity model, which can be solved using the method of the factor analysis principal components. Furthermore, application of the principal components method provides an expert analyst with supplementary, scientifically-based data on the quality of work and allows him to predict trends. The article based on real data of the aircraft maintenance organization shows the applicability of the method with the purpose for optimizing the list of hazard factors manifestations regarding a single aspect of organization activity.