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Articles 31 - 33 of 33
Full-Text Articles in Management and Operations
Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman
Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman
College of Graduate Studies: Theses & Dissertations
Proper condition monitoring has been a major issue among railroad administrations since it might cause catastrophic dilemmas that lead to fatalities or damage to the infrastructure. Although various aspects of train safety have been conducted by scholars, in-motion monitoring detection of defect occurrence, cause, and severity is still a big concern. Hence extensive studies are still required to enhance the accuracy of inspection methods for railroad condition monitoring (CM). Distributed acoustic sensing (DAS) has been recognized as a promising method because of its sensing capabilities over long distances and for massive structures. As DAS produces large datasets, algorithms for precise …
Leveraging Artificial Intelligence To Improve Data Configuration & Accuracy In Modern Flight Management Systems, Sreeram Chittayil
Leveraging Artificial Intelligence To Improve Data Configuration & Accuracy In Modern Flight Management Systems, Sreeram Chittayil
International Journal of Aviation, Aeronautics, and Aerospace
AI (Artificial intelligence) can automate the process of generating optimized flight routes using real-time data, such as AIRAC (Aeronautical Information Regulation and Control), significantly reducing the time needed for flight management tasks. While AIRAC data typically takes up to 28 days to refresh, AI could condense this process to just minutes, enhancing operational efficiency and ensuring pilots have timely and accurate flight information. The research includes practical experiments, prototype code, and visual case studies to demonstrate AI's role in optimizing FMS functions while addressing issues related to data input errors and human intervention. Key findings from trials show the algorithm's …
Performance Prism: A Comprehensive Framework For Performance Measurement In Aircraft Maintenance, Mohammed Timjerdine, Saoudi Taibi, Younes Moubachir
Performance Prism: A Comprehensive Framework For Performance Measurement In Aircraft Maintenance, Mohammed Timjerdine, Saoudi Taibi, Younes Moubachir
International Journal of Aviation, Aeronautics, and Aerospace
Aircraft maintenance is governed by rigorous safety requirements and high operational complexity, demanding robust performance measurement frameworks to ensure optimal maintenance practices. This paper investigates existing performance measurement methodologies within the sector, highlighting their limitations and the need for a more structured evaluation system. Through this critical analysis of current literature, the paper proposes the Performance Prism (PP) framework as a novel and potentially robust solution for assessing and enhancing aircraft maintenance performance. Because the PP framework integrates multiple dimensions of evaluation, it provides a holistic assessment of aircraft maintenance performance, thereby enhancing reliability, efficiency, and overall effectiveness. Using examples …