Autor/innen
Paulo Lucas Figueiredo, 1) RCM2+, ISEC, 3030-199 Coimbra, Portugal; 2) CISE, UBI, 6201-001 Covilhã, Portugal; José Torres Farinha, RCM2+, ISEC, 3030-199 Coimbra, Portugal; Hugo Raposo, RCM2+, ISEC, 3030-199 Coimbra, Portugal; António J. Marques Cardoso, CISE, UBI, 6201-001 Covilhã, Portugal; Alice do Carmo Duarte Rodrigues, DEP, 2614-506 Amadora; Paula Gonçalves, CIAFA, Lisboa 2715-311; 5) CIDIUM, Lisboa 1449-027
Über dieses Buch
This study aims to demonstrate the value of life cycle analysis in legacy aircraft based on data fusion from asset usage and respective monitoring parameters to support management decisions across all operational levels, being the extend of the useful life of assets or the configuration management. The research includes a case study focused on the propeller system, which serves as a reference for applying the methodology to the entire aircraft and its components. The proposed analysis integrates state-of-the-art models covering three dimensions: Life Cycle Investment, Sustainability-Oriented Life Cycle Assessment, and Operational Risk Analysis. These models are interconnected to identify cause-and-effect relationships across the different spectra, providing a holistic view of asset performance and degradation. The methodology considers all operational and maintenance activities, from acquisition to decommissioning, with the objective of increasing asset availability, optimizing resource allocation, reducing component cannibalization, and extending Remaining Useful Life (RUL). A key feature of the approach is real-time data updating, enabling continuous and accurate information refreshment. This dynamic data environment supports the development of machine learning models and the integration of Generative Artificial Intelligence (GenAI), enhancing predictive and prescriptive capabilities, increasing reliability, and improving risk analysis and forecasting.
Veröffentlicht
21.08.2026
Copyright (c) 2026 Matthias Faes, Michael Beer, Julian Behrend, Marco Broccardo, Guohai Chen, Hanshu Chen, Jieyu Chen, Fang Cong, Henrik Ebel, Peter Eberhard, Andrea Franchini, Zhuojia Fu, Yanzhao Gu, Michael Hanss, Hui Huang, Md Maidul Islam, Jafar Jafari-Asl, Balsa Jovanovic, Tom Könecke, Olga Kosheleva, Vladik Kreinovich, Hao-Ming Li, Pei-Pei Li, Qinghe Li, Ruikun Li, Stefano Marelli, Rafi L. Muhanna, Robert L. Mullen, Chiara Nardin, Lukáš Novák, Shenghao Piao, Mario Rosenfelder, Styfen Schär, Jan Schneider, Wei Shi, Panagiotis Spyridis, Bruno Sudret, Ruben Van Coile, Bo-Yu Wang, Dixiong Yang, Xuan-Yi Zhang, Zi-Xin Zhang, Bo-Qi Zhao, Yan-Gang Zhao, Zhibao Zheng, Baihong Zhong, Zhaowei Zhou, Marcos A. Valdebenito, Chao Dang, Lan-Xin Li, Marius Bittner, Parth Tambat, Marco Behrendt, Zhao Liu, Ping Zhu, Zlatan Dimitrov, Petar O. Hristov, Meng-Ze Lyu, Yang-Yi Liu, Jian-Bing Chen, Qitian Lu, Miroslav Vořechovský, Ekaterina Auer, Lorenz Gillner, Julien Alexandre dit Sandretto, Binod K. Yadav, Ghifari Adam Faza, Hans Hallez, David Moens, Reza Naeimaei, Steffen Schön, Elisabeth Ötsch, Hans Neuner, Zhanhua Liang, Jingwen Song, Michael Desch, Mehdi Modares, Valentin Nikolov, Paulo Lucas Figueiredo, José Torres Farinha, Hugo Raposo, António J. Marques Cardoso, Alice do Carmo Duarte Rodrigues, Paula Gonçalves, Peihan Chen, Xinyu Zhu, Pengfei Wei, Kaiwen Li, Mansoureh Shahabi, Y. F. Cui, Johannes O. Royset, Salvatore Russotto, Mario Di Paola, Antonina Pirrotta, Til Lux, Johannes Sundheim, Tania Feiri, Udo Wiens, Marcus Ricker, F. Niklas Schietzold, Felix Harazin, Yoshi Diepelt, Wolfgang Graf, Michael Kaliske, Rongyao Song, Changcong Zhou, Xuanyi Zhao, Weiping Zhang, Juntao Hu, Yu Chen, Edoardo Patelli, Tingting Sun, Jianbing Chen, Bouwe Verkens, L. Bogaerts, Patrick Van Rymenant, Maximilian Schweizer, Marc Fina, Werner Wagner, Steffen Freitag, George Stefanou, Dimitros Savvas, Panagiotis Gavalas, Luigi Schiano, Razhan S. Ahmed, Oleksandr Al-Shboul, David Ringeloth, Vladislav Gudžulić, Stefanie Schoen, Jelena Bijeljić, Ernst Niederleithinger, Iurie Curoşu, Gerrit E. Neu, Jia-Hui Fu, Yi Luo, De-Cheng Feng, Xiao-Qiu Ai, Luyi Li, Hao Wang, Tairan Wang, Sifeng Bi, Emily Zeller (Kapitelautor/in)
Zitationsvorschlag
A holistic approach to the Life Cycle Assessment of a propeller system. (2026). In
REC 2026 - 11th International Workshop on Reliable Engineering Computing: Reliability Computations in a Data and Model-Driven World (pp. 461-472). TUDObooks.
https://doi.org/10.17877/tudobooks-11.189
