Reliability Analysis of a Group of Internal Combustion Engines (ICM) in Thermoelectric Power Plants Using Optimization Methods for Artificial Neural Networks (ANN)

CAMPOS, Paola Souto2025-02-202023SILVA, I. R. S.; PARENTE, R. S.; SIQUEIRA JUNIOR, P. O.; NASCIMENTO, M. H. R.; FONSECA JÚNIOR, M.; LEITE, J. C.; ALENCAR, D. B. Reliability Analysis of a Group of Internal Combustion Engines (ICM) in Thermoelectric Power Plants Using Optimization Methods for Artificial Neural Networks (ANN). In: ZOBAA, A. F.; ABDEL ALEEM, S. H. E. (eds.). Modernization of Electric Power Systems: Energy Efficiency and Power Quality. Springer, 2023. DOI: 10.1007/978-3-031-18996-8.DOI 10.1007/978-3-031-18996-8_525https://rigalileo.itegam.org.br/handle/123456789/467This chapter presents a study on the reliability of internal combustion engines in thermoelectric power plants using artificial neural networks (ANN) and optimization methods. The research models engine performance based on operational and environmental variables, aiming to predict failures and optimize predictive maintenance. The results show that applying ANN reduces operational costs and improves energy generation efficiency.pdf.Confiabilidade de MotoresUsinas TermelétricasRedes Neurais ArtificiaisManutenção PreditivaOtimização de SistemasReliability Analysis of a Group of Internal Combustion Engines (ICM) in Thermoelectric Power Plants Using Optimization Methods for Artificial Neural Networks (ANN)Capítulo de LivroEngenharia Mecânica