Automatic regime detection for Rotor Track and Balance using vibration only sensor data.
- Submitting institution
-
University of Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 257807580
- Type
- D - Journal article
- DOI
-
10.1017/aer.2020.17
- Title of journal
- The Aeronautical Journal
- Article number
- -
- First page
- 617
- Volume
- 124
- Issue
- 1275
- ISSN
- 0001-9240
- Open access status
- Not compliant
- Month of publication
- April
- Year of publication
- 2020
- 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)
-
B - Dynamics and Control
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper establishes for the first time an approach to identify helicopter flight regimes automatically without pilot monitoring or intervention to optimise rotor track and balance. Uniquely the approach simultaneously identifies the flight regime and associates the outcome with suggested rotor adjustments, thereby removing manual intervention and interpretation. The work has been taken up by Leonardo Helicopters (Contact Wells, Head of rotor health) and Helitune (Contact Morrish, Engineering Manager, and has led to a Innovate UK contract to implement the methodology in Helitune’s Rotortuner product worldwide (InnovateUK grant number: 47006).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -