A Proposal of Robust Condition Monitoring Scheme for Industrial Systems



Título del documento: A Proposal of Robust Condition Monitoring Scheme for Industrial Systems
Revista: Computación y sistemas
Base de datos:
Número de sistema: 000560767
ISSN: 1405-5546
Autores: 1
2
1
Instituciones: 1Universidad Tecnológica de La Habana José Antonio Echeverría, Departamento de Automática y Computación, La Habana. Cuba
2Universidad Politécnica Salesiana, Quito, Pichincha. Ecuador
Año:
Periodo: Ene-Mar
Volumen: 27
Número: 1
Paginación: 223-235
País: México
Idioma: Inglés
Tipo de documento: Artículo
Resumen en inglés The Industry 4.0 paradigm aims to obtain high levels of productivity and efficiency, more competitive final products and compliance with the demanding regulations related to industrial safety. To achieve these objectives, the industrial systems must be equipped with condition monitoring systems for early detection, isolation, and location of faults. The paper presents a proposal for a condition monitoring system characterized by its robustness in presence of noise and missing variables in the measurements. The proposal combines the use of simple and effective imputation algorithms with a fuzzy classification kernel algorithm based on the use of the non-standard Pythagorean fuzzy sets. The proposed scheme was validated using the known DAMADICS test problem with excellent results.
Disciplinas: Ciencias de la computación,
Ingeniería
Palabras clave: Programación
Keyword: Programming
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