Use of self-calibration data for multifunctional MEMS sensor prognostics
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 12 - Engineering
- Output identifier
- 165243020
- Type
- D - Journal article
- DOI
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10.1109/JMEMS.2016.2564499
- Title of journal
- IEEE Journal of Micromechanical Systems
- Article number
- -
- First page
- 761
- Volume
- 25
- Issue
- 4
- ISSN
- 1057-7157
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2016
- 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
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Uptake of the multi-functional sensor concept and the prognostic method described in this paper is in progress through ULTRA Electronics UK (ref CTO, Richard McClay, richard.mcclay@ultra-ncs.com). Applications include modular reactor technology and aerospace systems where cost, size and reliability are key drivers. The work has also given rise to the extension of the concept towards self-healing sensor technology with a target application being a dual mode smart sensor patch capable of detecting both corrosion and hydrogen. This work is also being led by ULTRA Electronics following a successful proof of concept study funded by Sellafield through its Gamechanger program (GC-151).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
