Rotational Speed Measurement Through Electrostatic Sensing and Correlation Signal Processing
- Submitting institution
-
The University of Kent
- Unit of assessment
- 12 - Engineering
- Output identifier
- 6281
- Type
- D - Journal article
- DOI
-
10.1109/TIM.2013.2292283
- Title of journal
- IEEE Transactions on Instrumentation and Measurement
- Article number
- -
- First page
- 1190
- Volume
- 63
- Issue
- 5
- ISSN
- 0018-9456
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- URL
-
https://kar.kent.ac.uk/40852/
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper reports for the first time the principle of electrostatic sensors coupled with correlational signal processing and data fusion algorithms for rotational speed measurement. Existing sensors such as those based on optical and electromagnetic principles are well established. However, they are expensive and their performance and applicability are limited under hostile environments. The electrostatic sensors reported in this paper are simple, low cost and applicable to a wide range of industrial conditions. This paper was one of the key outputs leading to Yan being appointed IEEE Distinguished Lecturer in 2015 and underpinned an IEEE Graduate Fellowship Award in 2016.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -