Cloud computing based unsupervised fault diagnosis system in the context of Industry 4.0

New online fault monitoring and alarm systems, with the aid of Cyber-Physical Systems (CPS) and Cloud Technology (CT), are examined in this article within the context of Industry 4.0. The data collected from machines is used to implement maintenance strategies based on the diagnosis and prognosis of the machines' performance. As such, the purpose of this paper is to propose a Cloud Computing Platform containing three layers of technologies forming a Cyber-Physical System which receives unlabelled data to generate an interpreted online decision for the local team, as well as collecting historical data to improve the analyzer. The proposed troubleshooter is tested using unlabelled experimental data sets of rolling element bearing. Finally, the current and future Fault Diagnosis Systems and Cloud Technologies applications in the maintenance field are discussed.

Mots clés

Remote Fault Diagnosis System (RFDS); Logical Analysis of Data (LAD); Cyber-Physical System (CPS); Pattern recognition; Industry 4.0; Cloud computing; Sistema de diagnóstico remoto de falhas (RFDS); Análise lógica de dados (LAD); Sistema físico cibernético (CPS); Reconhecimento de padrões; Indústria 4.0; Computação em nuvem