FAULT DIAGNOSTIC METHODS OF A CENTRIFUGAL PUMP
Abstract
For each rotating machine, the appropriate type of maintenance (corrective, preventive or predictive) must be chosen according to the criteria of safety, productivity, the cost of replacing the equipment and the frequency of breakdowns.
In the context of condition monitoring, bearing wear is one of the main causes of failure in rotating machines which are monitored and diagnosed in real time to increase their life and guarantee their availability in the industry. Vibration analysis and oil analysis are popular techniques used for monitoring and detecting most bearing malfunctions.
The objective of this work is to study the tools for the diagnosis of faults simulated on the bearings, and the implementation of the diagnosis by the identification of the faults. We have focused on two monitoring techniques to ensure the proper functioning of rotating machines, the first: overall level monitoring and frequency analysis of bearing defects, and the second, monitoring the wear index by the Ferro-graph method to diagnose and study failures.Full Text:
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