Subjects: ENGENHARIA, INTELIGÊNCIA ARTIFICIAL, MÉTODO DOS ELEMENTOS FINITOS
ABNT
MICHALSKI, Miguel Angelo De Carvalho. Rotating machinery fault identification using model-based and data-based techniques integration. 2021. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3151/tde-04062021-173315/. Acesso em: 10 ago. 2024.APA
Michalski, M. A. D. C. (2021). Rotating machinery fault identification using model-based and data-based techniques integration. (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3151/tde-04062021-173315/NLM
Michalski MADC. Rotating machinery fault identification using model-based and data-based techniques integration. [Internet]. 2021 ;[citado 2024 ago. 10 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3151/tde-04062021-173315/Vancouver
Michalski MADC. Rotating machinery fault identification using model-based and data-based techniques integration. [Internet]. 2021 ;[citado 2024 ago. 10 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3151/tde-04062021-173315/