Abstract
Monitoring and diagnosing damage in dynamic machinery is a growing area of interest in the cement industry. Indeed, industrial equipment is disrupted throughout its operation by malfunctions; especially in old age; which reduces their operating costs and availability. Therefore, the detection and identification of faults in industrial systems - diagnosis - is of capital importance for their operation and a major challenge for modern industry. Among the most used diagnostic techniques, we find spectral analysis, a condition-based maintenance tool, which is used to study the vibration signals of dynamic machines.
In this context, the objective of this work is the early detection of malfunctions by frequency spectral analysis, which is based on an analysis of the vibration signal in order to search for the presence of vibration images of all the defects likely to affect the installation considered. As a case study we took the ball mill of the Hamma Bouziane-Constantine cement plant, given its importance in the production process. To gain knowledge of the kinematic characteristics of the different constituent organs, and their excitation frequencies is required. Our choice is justified by its use in the development of the choice of condition-based maintenance strategy for industrial applications.
Recommended Citation
BOUYAYA, Linda
(2024)
"Vibration Analysis and Condition Monitoring for Cement Mill (Case of Hamma Bouziane-Constantine Cement Plant),"
Emirates Journal for Engineering Research: Vol. 29:
Iss.
4, Article 3.
Available at:
https://scholarworks.uaeu.ac.ae/ejer/vol29/iss4/3