Extraction of the largest amplitude impact transients for diagnosing rolling element defects in bearings
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 90
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2018.07.022
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 796
- Volume
- 116
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- 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
- Rolling bearing failure is the largest cause of downtime in industrial plant. The authors have previously shown that the modulation signal bispectrum offers the most capable means of monitoring such bearings, but has too great a computational overhead for embedded applications.
This paper proposes, simulates and experimentally validates a computationally simpler but nevertheless highly capable approach to bearing monitoring, based upon extraction of the largest amplitude impact transients.
This method is suited to wireless node systems and doesn’t require a tachometer signal; for these reasons it is presently part of a large demonstrator project for a world leading ship builder.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
