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- Enhancing predictive accuracy in aircraft engine mro using clustering and similarity methodsPublication . Mendonça, Leonardo; Pires, Flávia; Barbosa, José; Duarte, Miguel; Leitão, PauloIn the aircraft engine Maintenance, Repair, and Overhaul (MRO) process, effective task planning relies heavily on the expertise of lead engineers. However, when predictive models are used to assist decision-making, issues with incomplete, unbalanced, and inconsistent data can lead to errors in the planning task. Therefore, reliable predictions are crucial for optimising the operational efficiency. This paper proposes a methodology to improve the prediction of maintenance times for an aircraft engine MRO process by integrating K-means clustering with Cosine and Jaccard similarity methods to define a reliable prediction interval. This methodology was compared with the predictions of the Simple Linear Regression method, which resulted in the prediction interval approach significantly reducing prediction errors, increasing prediction accuracy, while optimising process management and maintenance task planning throughout the MRO process.
- Monitoring and prediction of maintenance operations for aircraft engines repairPublication . Mendonça, Leonardo; Pires, Flávia; Duarte, Miguel; Barbosa, José; Leitão, PauloAccurately estimating the hours required for maintenance, repair and overhaul (MRO) operations in the aviation sector frequently depends on the experience and personal judgment of engineers, can lead to introducing errors, increased operating costs, and time-consuming decision-making. This work presents the development of a cost-effective application to monitor and predict MRO operations in an aeronautical company. The application integrates data-driven algorithms, particularly Machine Learning (ML), with Power BI to provide a dynamic and user-friendly visualisation of historical and predicted data, improving decisionmaking time and facilitating operational planning. The simple linear regression model was the most effective algorithm to predict MRO operation for the case study with a B? of 0.81, balancing simplicity and performance compared to other analysed models.
- Reconfigurable conveyor transfer system using IEC-61499 function blocksPublication . Mendonça, Leonardo; Funchal, Gustavo Silva; Fagundes, Frederico; Leitão, PauloIn the 4th Industrial Revolution era, automation processes operate in a more modular, flexible, and reconfigurable manner, leveraging decentralized decision-making and distributed control. The IEC-61499 Function Block (FB) technology offers a suitable approach to implementing distributed automation control systems. This paper describes the development of a dynamic and on-the-fly reconfiguration control system based on the IEC-61499 standard, applied in a conveyor transfer system case study to automatically adapt its operation to face changes in the number and position of the conveyor modules. The developed control system considers a Python-based FB network using the DINASORE framework. The experimental tests showed promising results regarding the ability of the system to adapt to condition changes automatically and on-the-fly, as well as scalability and robustness.
- Reconfigurable conveyor transfer system using IEC-61499 function blocksPublication . Mendonça, Leonardo; Leitão, Paulo; Fagundes, FredericoIn the 4th Industrial Revolution era, automation processes operate in a more modular, flexible, and reconfigurable manner, leveraging decentralized decision-making and distributed control. As the backbone of this revolution lies the Cyber-physical Production System (CPPS) concept, which emphasizes the strong interlink and interdependence of the digital/cyber and physical components. It requires the use of a technology capable of incorporating intelligence through the entities in a decentralized manner. IEC-61499 Function Blocks technology stands out as a suitable approach to implementing distributed automation control systems. This work presents the development of a dynamic and on-the-fly reconfiguration conveyor transfer system based on the IEC-61499 standard, that automatically adapts its operation to face changes in the number and position of the conveyor modules. For this purpose, the developed control system considers a Python-based Function Block (FB) network using the DINASORE framework, capable of effectively communicating between system components and identifying changes in real time. The experimental tests showed promising results regarding the system’s ability to adapt to condition changes automatically and on the fly, as well as its scalability and robustness.