وزارة التعليم العالي و البحث العلمي
Research centre in Industrial Technologies -CRTI-
EChahid Mohammed ABASSI
Industrial systems and products control division
Control of Electro-Energetic Systems
- Hichem MERABET Research Director Team leader
- Brahim OUDJANI Senior Researcher A
- Khouloud BEDOUD Senior Researcher B
- Djalel DRICI Research fellow
- Hadjira TAYOUB Research fellow
Application of automatic defects diagnosis algorithms for rotating machines in the context of Industry 4.0 [2022-2024]
Predictive maintenance is an essential task for the proper functioning of the factory and the safety of people. Considering the costs, it makes sense to strike a good balance between routine preventive maintenance and corrective maintenance. The monitoring of the installations contributes to limiting the level of preventive maintenance. In this context, vibration analysis is an effective tool for detecting and then diagnosing defects in industrial installations. On the other hand, the emergence of new technologies and the digital revolution are giving life to a new generation of connected and intelligent factories that are blurring the boundaries between the physical and digital world. This type of industry is called industry of the future, industry 4.0 or fourth industrial revolution representing a challenge and a real opportunity for the Algerian industry which currently remains dominated by the persistence of economic data inherited from the conventional concept of industry, which means a close technical, technological and financial dependence. In order to participate in overcoming this challenge, this project aims to introduce automatic and online diagnostic systems for rotating mechanical components, in particular rotating machines which occupy a prominent place in national industry in an industrial production environment. 4.0. So, after having described the main vibration manifestations of machine malfunctions, our goal is to create on-board diagnostic systems for the detection, location and classification of defects in rotating machines by relying on artificial intelligence, an approach to internet of objects and similarity and by analyzing the vibration signals allowing to deduce an effective maintenance management policy.
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