Aplicação da Análise dos Modos e Efeitos de Falhas em uma Estação Meteorológica: Caso UFMS

Abstract

Weather Stations play a fundamental role in the continuous production of atmospheric and environmental data and represent an important tool for managing weather-related risks to the population. The operation of these systems is influenced by technical factors such as natural component wear, sensor malfunctions, and failures in data acquisition subsystems. Thus, maintenance management becomes essential to ensure the reliability and operational availability of the equipment. In this context, this study aimed to evaluate and identify potential failures in an automatic weather station installed at a public higher education institution using the Failure Mode and Effects Analysis (FMEA) methodology. The results showed that subsystems such as the battery, charge controller, data logger, and sensors should be prioritized in failure mitigation, as they presented the highest technical criticality in the overall performance of the station. Finally, preventive maintenance actions were proposed to reduce failure risks, improve reliability and availability, and support future decision-making in asset management.