Browsing by Author "Pinto, Matheus Henrique Menezes"
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- Computational models for behavioral analysis of an aircraft turbinePublication . Pinto, Matheus Henrique Menezes; Pereira, Ana I.; Bertachi, Arthur HirataIn the era of globalization, emphasis on economic advancement becomes pivotal, intensifying market competition and necessitating novel strategies and technologies to meet the demands of society. Within the aviation domain, alongside the pursuit of cost reduction and process efficiency, safety remains paramount. In response to these challenges, this study introduces the application of artificial intelligence to evaluate the degradation level of a pivotal aviation component: the gas turbine. This study is founded on a detailed case study utilizing data from the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) provided by the National Aeronautics and Space Administration (NASA). By integrating predictive maintenance principles and artificial intelligence models, the core objective is to proactively anticipate equipment operational conditions, enabling planned and precise repairs or replacements. Our study stands out for implementing techniques for converting and categorizing the equipment’s state in relation to its remaining useful life. By translating data, we haveachieved potentially useful results for practical use. This approach not only allows for an assessment of gas turbine wear but also facilitates informed decision-making regarding maintenance and replacement. The ability to anticipate problems before they occur not only reduces the costs associated with unscheduled maintenance but also significantly increases passenger safety, demonstrating the positive impact of artificial intelligence in the aerospace industry. The results obtained are promising when compared to the existing literature, validating the potential practical application of the developed techniques.