Source: ASCE-ASME journal of risk and uncertainty in engineering systems. Part B. Mechanical engineering. Unidade: EP
Subjects: FALHAS COMPUTACIONAIS, LÓGICA FUZZY
ABNT
MURAD, Carlos Alberto et al. Fuzzy-FMSA: evaluating Fault Monitoring and Detection Strategies Based on Failure Mode and Symptom Analysis and Fuzzy Logic. ASCE-ASME journal of risk and uncertainty in engineering systems. Part B. Mechanical engineering, v. 6, n. 3, p. se 2020, 2020Tradução . . Disponível em: https://doi.org/10.1115/1.4045974. Acesso em: 19 nov. 2024.APA
Murad, C. A., Melani, A. H. de A., Michalski, M. A. D. C., Caminada Netto, A., Souza, G. F. M. de, & Nabeta, S. I. (2020). Fuzzy-FMSA: evaluating Fault Monitoring and Detection Strategies Based on Failure Mode and Symptom Analysis and Fuzzy Logic. ASCE-ASME journal of risk and uncertainty in engineering systems. Part B. Mechanical engineering, 6( 3), se 2020. doi:10.1115/1.4045974NLM
Murad CA, Melani AH de A, Michalski MADC, Caminada Netto A, Souza GFM de, Nabeta SI. Fuzzy-FMSA: evaluating Fault Monitoring and Detection Strategies Based on Failure Mode and Symptom Analysis and Fuzzy Logic [Internet]. ASCE-ASME journal of risk and uncertainty in engineering systems. Part B. Mechanical engineering. 2020 ;6( 3): se 2020.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1115/1.4045974Vancouver
Murad CA, Melani AH de A, Michalski MADC, Caminada Netto A, Souza GFM de, Nabeta SI. Fuzzy-FMSA: evaluating Fault Monitoring and Detection Strategies Based on Failure Mode and Symptom Analysis and Fuzzy Logic [Internet]. ASCE-ASME journal of risk and uncertainty in engineering systems. Part B. Mechanical engineering. 2020 ;6( 3): se 2020.[citado 2024 nov. 19 ] Available from: https://doi.org/10.1115/1.4045974