Cavitation detection in centrifugal pumps using pressure time-domain features

Authors

POUYA SAMANIPOUR
JAVAD POSHTAN
HAMED SADEGHI

DOI

10.3906/elk-1701-2

Abstract

Condition monitoring of centrifugal pumps is vital due to their crucial role in industries. One of the most prevalent faults in pumps is cavitation, which can cause mechanical faults or even failure in the pump. In this paper, an approach is suggested to detect cavitation in a centrifugal pump using time-domain analysis of the pressure signal residual. First, pressure and torque signals are obtained using a model of the electro-pump, and then pressure deviation from the pump performance curve is defined as a residual. The residual time-domain features are extracted and applied as inputs to a self-organizing map (SOM) neural network to classify the system modes. The results indicate that the suggested method is capable of detecting incipient cavitation. Furthermore, the suggested method demonstrates robust performance against disturbance.

Keywords

Electro-pump, cavitation, fault detection, self-organizing map, time-domain analysis

First Page

4287

Last Page

4298

Recommended Citation

SAMANIPOUR, POUYA; POSHTAN, JAVAD; and SADEGHI, HAMED (2017) "Cavitation detection in centrifugal pumps using pressure time-domain features," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 25: No. 5, Article 64. https://doi.org/10.3906/elk-1701-2
Available at: https://journals.tubitak.gov.tr/elektrik/vol25/iss5/64