A novel fault diagnosis technique for enhancing maintenance and reliability of rotating machines
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 40441426
- Type
- D - Journal article
- DOI
-
10.1177/1475921715604388
- Title of journal
- Structural Health Monitoring
- Article number
- -
- First page
- 604
- Volume
- 14
- Issue
- 6
- ISSN
- 1475-9217
- Open access status
- Out of scope for open access requirements
- Month of publication
- September
- Year of publication
- 2015
- 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
-
2
- Research group(s)
-
A - MACE - Mech
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The concepts arising from this work led to a number of invited and keynote lectures in the international conferences such as 43rd International JVC conference (2019), National Convention of IIIE and International Conference (2018), National Symposium on Rotordynamics (2017) and Industry 4.0 Academia Conference (2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
