A robust detector for rolling element bearing condition monitoring based on the modulation signal bispectrum and its performance evaluation against the Kurtogram
- Submitting institution
-
The University of Huddersfield
- Unit of assessment
- 12 - Engineering
- Output identifier
- 15
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2017.07.037
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 167
- Volume
- 100
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Access exception
- Month of publication
- July
- Year of publication
- 2017
- 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
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Rolling element bearing failure remains the single largest cause of downtime in industrial plant. For many years the Kurtogram was considered to be the most capable signal processing method for monitoring the condition of rolling element bearings, particularly in high noise environments.
This paper conclusively proves, using both simulation and experimentation, that the modulation signal bispectrum approach significantly out-performs the Kurtogram in industrially realistic, high noise applications. This represents a very significant step forwards in the condition monitoring of these critical machine components and the numerous citations already received reveal that this new approach is being heralded as the benchmark.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
