A cloud-based condition monitoring system for fault detection in rotating machines using PROFINET process data-Reference-Cited by-同舟云学术

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A cloud-based condition monitoring system for fault detection in rotating machines using PROFINET process data

Published:2021-04 Issue: Volume:126 Page:103394
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Dias Andre Luis^ORCID,Turcato Afonso Celso,Sestito Guilherme Serpa,Brandao Dennis^ORCID,Nicoletti Rodrigo^ORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference44 articles.

1. A comparative analysis of classical and one class SVM classifiers for machine fault detection using vibration signals;Amir,2016

2. Learning Deep Architectures for AI. Essence of knowledge;Bengio,2009

3. Feature selection for high-dimensional data - A pearson redundancy based filter;Biesiada;Adv. Soft Comput.,2007

4. Monitoring of induction motor mechanical and electrical faults by optimum multiclass-support vector machine algorithms using genetic algorithm;Bordoloi;Mech. Mach. Sci.,2019

5. Feature extraction and power quality disturbances classification using smart meters signals;Borges;IEEE Trans. Ind. Inform.,2016

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