A Proposal of Robust Condition Monitoring Scheme for Industrial Systems

Adrián Rodríguez-Ramos, Francisco Javier Ortiz, Orestes Llanes-Santiago

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)223-235
Number of pages13
JournalComputacion y Sistemas
Volume27
Issue number1
DOIs
StatePublished - 2023

Bibliographical note

Funding Information:
Authors Adrián Rodríguez-Ramos and Orestes Llanes-Santiago acknowledge the financial support provided by the International Funds and Projects Management Office (OGFPI) of the Ministry of Science, Technology and Environment (CITMA) of Cuba for the national project with code PN223LH004-023.

Publisher Copyright:
© 2023 Instituto Politecnico Nacional. All rights reserved.

Keywords

  • missing information
  • noise
  • Pythagorean fuzzy sets
  • Robust condition monitoring

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