Centrifugal pump condition monitoring and diagnosis using frequency domain analysis
- Submitting institution
-
Glasgow Caledonian University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 33035459
- Type
- C - Chapter in book
- DOI
-
10.1007/978-3-030-11220-2_13
- Book title
- Advances in Condition Monitoring of Machinery in Non-Stationary Operations : Proceedings of the Sixth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2018, 20-22 June, 2018, Santander, Spain
- Publisher
- Springer
- ISBN
- 9783030112196
- Open access status
- -
- Month of publication
- January
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article, which appears in the Springer series "Applied Condition Monitoring", describes research which investigated the limitations of frequency domain analysis for fault classification in centrifugal pumps, as a prelude to subsequent research into the use of wavelet analysis for the same purpose. The research demonstrates the limitations of Fast Fourier Transforms for condition monitoring of such pumps due to the presence of non-stationary signals in the fault data, which were generated using a purpose-built experimental rig at the Caledonian College of Engineering in Oman (now National University of Science and Technology) in collaboration with Glasgow Caledonian University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
