PHM SURVEY : IMPLEMENTATION OF DIAGNOSTIC METHODS FOR MONITORING INDUSTRIAL SYSTEMS

Abdenour SOUALHI, Bilal Elyousfi, Hawwari yasmine, Kamal Medjaher, Guy clerc, and Hubert razik
Publication Target: 
IJPHM
Publication Issue: 
2
Submission Type: 
Full Paper
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ijphm_19_035.pdf431.64 KBMarch 19, 2020 - 1:26am

The modernization of industrial sectors involves the use of complex industrial systems and therefore requires condition based maintenance. This one aims at increasing the operational availability and reducing the life-cycle while increasing the reliability and life expectancy of industrial systems. This maintenance also called predictive maintenance is a part of an emerging philosophy called PHM ‘Prognostics and Health Management’.
In this paper, the PHM will be emphasized on the existent diagnostic methods used for fault isolation and identification. This depicts an important part of the PHM as it exploits the data given by the signal processing step and its output is treated by the prognostic part. The diagnostic is mainly classified in three categories that will be highlighted in this paper.

Publication Year: 
2019
Publication Volume: 
10
Publication Control Number: 
035
Page Count: 
12
Submission Keywords: 
diagnosis; prognosis; fault-tolerant control; reconfigurable control; PHM
Submission Topic Areas: 
Industrial applications
Submitted by: 
  
 
 
 

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