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Centrifugal Pump Condition Monitoring and Diagnosis Using Frequency Domain Analysis

  • Maamar Ali Saud ALTobiEmail author
  • Geraint Bevan
  • Peter Wallace
  • David Harrison
  • K. P. Ramachandran
Conference paper
Part of the Applied Condition Monitoring book series (ACM, volume 15)

Abstract

Centrifugal pumps are rotating machines which are widely used in process operations and other applications. Efficient and failure-free operation of these pumps is important for effective plant operation and productivity. However, the complexity of pumps, combined with continuous operation, can lead to failure and expensive maintenance requirements, thus motivating interest in on-line condition monitoring. This work investigates the application of frequency-domain analysis for classification of various centrifugal pump conditions. Seven conditions are considered, namely, healthy (non-faulty); five mechanical faults: misalignment, imbalance, faulty bearing, faulty impeller and mechanical looseness; and a hydraulic fault: cavitation. A centrifugal pump test rig was built specifically for this research to simulate each fault condition and acquire the resulting vibration measurements. Signals are acquired from the pump using an accelerometer which is mounted on its bearing housing, and a data acquisition device (DAQ) is used to acquire the signals. Fast Fourier Transform (FFT) is used to identify which types of faults generate stationary or non-stationary signals. However, the accuracy of detection for the non-stationary signals is shown to require further improvement, and alternate methods are suggested accordingly.

Keywords

Centrifugal pump Condition monitoring Fast Fourier Transform (FFT) Data Acquisition Device (DAQ) Non-stationary signals 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Maamar Ali Saud ALTobi
    • 1
    Email author
  • Geraint Bevan
    • 2
  • Peter Wallace
    • 2
  • David Harrison
    • 2
  • K. P. Ramachandran
    • 1
  1. 1.Caledonian College of EngineeringSeebOman
  2. 2.Glasgow Caledonian UniversityScotlandUK

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