Amplitude-cyclic frequency decomposition of vibration signals for bearing fault diagnosis based on phase editing
- Submitting institution
-
The University of Bath
- Unit of assessment
- 12 - Engineering
- Output identifier
- 189217916
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2017.09.044
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 76
- Volume
- 103
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Deposit exception
- Month of publication
- November
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
https://ars.els-cdn.com/content/image/1-s2.0-S0888327017305277-gr12_lrg.jpg
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work established partnerships including CETIM, France, and NREL, USA, leading to 3 successful phase 1 applications to the UKRI Future Flight challenge and two collaborative applications pending in phase 2, with partnerships with GKN, Callen-Lenz, Claytex, Leonardo Helicopters, NATS, Thales, Aveillant, SalusUAV, Dynamiq, Qinetiq and Bristol Airport.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -