Surveillance et Pronostic de défaillances d’alignement d’arbres

Abstract

Rotating machines in the industrial world play an indispensable role. However, they may suffer from a number of disadvantages during his work, which affects the efficiency and quality of his production. In doing so, we did a study on a sample of signals that we collected from a database called MaFaulDa and tested the validity of the alignment defects (Horizontal, Vertical), and we also applied different adjustment methods by which we learned to estimate the remaining useful life.