Follow
Afrânio Melo
Afrânio Melo
Data Scientist | Petrobras
Verified email at petrobras.com.br - Homepage
Title
Cited by
Cited by
Year
Echo state network based soft sensor for monitoring and fault detection of industrial processes
T Lemos, LF Campos, A Melo, N Clavijo, R Soares, M Câmara, T Feital, ...
Computers & Chemical Engineering 155, 107512, 2021
182021
Open benchmarks for assessment of process monitoring and fault diagnosis techniques: A review and critical analysis
A Melo, MM Câmara, N Clavijo, JC Pinto
Computers & Chemical Engineering 165, 107964, 2022
172022
Development and Application of a Data-Driven System for Sensor Fault Diagnosis in an Oil Processing Plant
N Clavijo, A Melo, MM Câmara, T Feital, TK Anzai, FC Diehl, ...
Processes 7 (7), 436, 2019
102019
Variable selection for fault detection based on causal discovery methods: Analysis of an actual industrial case
N Clavijo, A Melo, RM Soares, LFO Campos, T Lemos, MM Câmara, ...
Processes 9 (3), 544, 2021
62021
Modeling of spiral wound membranes for gas separations. Part III: A nonisothermal 2D permeation model
TB Fontoura, MCC de Sá, DQF de Menezes, BF Oechsler, A Melo, ...
Chemical Engineering Research and Design 177, 376-393, 2022
52022
Distance matrix patterns for visual and interpretable process data analytics
A Melo, FF Fadel, MM Câmara, JC Pinto
Industrial & Engineering Chemistry Research 62 (35), 13889-13901, 2023
12023
Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
A Melo, MM Câmara, JC Pinto
Processes 12 (2), 251, 2024
2024
Comparison of Autoencoder Architectures for Fault Detection in Industrial Processes
DE Spina, LF de Oliveira Campos, WF de Arruda, A Melo, MS Alves, ...
SSRN, 4758647, 2024
2024
Liquid–Liquid Equilibrium in Xylene Solubles (XS) Analysis of Polypropylene
A Melo, FLP Pessoa, JC Pinto
Macromolecular Reaction Engineering 17 (6), 2300029, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–9