AN INVESTIGATION OF FREQUENCY SPECTRUM ANALYSIS FOR THE DETECTION OF BEARING DAMAGE IN CENTRIFUGAL PUMP UNIT 731PU1205 F2
DOI:
https://doi.org/10.52158/cp4vwr34Keywords:
frequency spectrum analysis, vibration monitoring, centrifugal pump, bearing fault detection, SKF CMDT 391, predictive maintenanceAbstract
This study explores the use of frequency spectrum analysis to identify bearing faults in centrifugal pumps, specifically focusing on the 731PU1205 F2 unit at PT Sari Dumai Oleo (SDS2). Vibration data were collected using the SKF CMDT 391 device, concentrating on velocity and enveloped acceleration spectra from two measurement positions (3V and 3H). The analysis examined characteristic bearing frequencies, including Ball Pass Frequency Outer (BPFO), Ball Pass Frequency Inner (BPFI), Ball Spin Frequency, and Fundamental Train Frequency, to detect defects related to the outer race, inner race, rolling element, or cage. The results revealed vibration spectra with frequency peaks corresponding to BPFO and BPFI, indicating early-stage wear in the bearing components. These findings demonstrate that frequency spectrum analysis serves as an effective predictive maintenance tool for the early detection of bearing faults, which has the potential to reduce both downtime and maintenance costs in industrial pump operations
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