Influência e benefícios do uso da inteligência artificial (IA) no monitoramento de saúde estrutural (MSE) do setor aéreo comercial

Structural Health Monitoring (SHM) has been attracting the research community in recent decades to enable the design of lighter, safer, and even cleaner aircraft. Therefore, considering that SMH is a critical aspect of the maintenance and safety of an aircraft's infrastructure, this study sought to explore the growing influence of Artificial Intelligence (AI) on SHM in the commercial aviation sector, showing the main benefits of using AI in this segment. The methodology applied to develop this study was a literature review. The research carried out had an exploratory-descriptive aspect, of a qualitative nature. It was concluded that, with the advancement of digitalization, the volume of data processed by production and maintenance companies is growing and, consequently, the demand for AI to manipulate this data is also growing. AI-based predictive maintenance can help optimize maintenance plans, predict the remaining useful life of components and, consequently, prevent damage.

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Publication Details

Journal
Brazilian Journal of Production Engineering
Published
2025-10-28
DOI
https://doi.org/10.47456/bjpe.v11i4.47925
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
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article

Influência e benefícios do uso da inteligência artificial (IA) no monitoramento de saúde estrutural (MSE) do setor aéreo comercial

Edson Costa
Brazilian Journal of Production Engineering
Machine Fault Diagnosis Techniques
article

Influência e benefícios do uso da inteligência artificial (IA) no monitoramento de saúde estrutural (MSE) do setor aéreo comercial

Edson Costa
article en

Abstract

Structural Health Monitoring (SHM) has been attracting the research community in recent decades to enable the design of lighter, safer, and even cleaner aircraft. Therefore, considering that SMH is a critical aspect of the maintenance and safety of an aircraft's infrastructure, this study sought to explore the growing influence of Artificial Intelligence (AI) on SHM in the commercial aviation sector, showing the main benefits of using AI in this segment. The methodology applied to develop this study was a literature review. The research carried out had an exploratory-descriptive aspect, of a qualitative nature. It was concluded that, with the advancement of digitalization, the volume of data processed by production and maintenance companies is growing and, consequently, the demand for AI to manipulate this data is also growing. AI-based predictive maintenance can help optimize maintenance plans, predict the remaining useful life of components and, consequently, prevent damage.

Brazilian Journal of Production EngineeringVol. 11(4)
Estácio (Brazil) (BR)
Openalex Percentile: Top 60%
Machine Fault Diagnosis Techniques
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