Author:
El Khaili Mohamed,Rafik Mohamed,Fila Redouane,Farid Abdelmajid
Abstract
The global industry is in continuous technological evolution, which aims for reliability, efficiency, availability, and safety while reducing maintenance costs. Modern maintenance follows change, which can no longer be limited to being corrective or preventive, but must be proactive involving the continuous monitoring and verification of the root causes of failure; it must also be predictive which makes it possible to anticipate breakdowns and increase equipment usage time based on the Prognosis and Health Management (PHM), which transforms raw data into indicators and makes it possible to define the Residual Life (RUL) and its extrapolation as a decision-making tool. Our chapter consists of presenting the contribution of AI to industrial maintenance in the field of mechanics. It focuses on industrial maintenance through its concepts, technologies, and methods used. So, the presentation of artificial intelligence and its algorithms applied toward maintenance 4.0 are to show the contribution of AI to maintenance.