A novel use of multivariate statistics to diagnose test-to-test variation in complex measurement systems
- Submitting institution
-
The University of Bath
- Unit of assessment
- 12 - Engineering
- Output identifier
- 196622507
- Type
- D - Journal article
- DOI
-
10.1016/j.measurement.2018.07.059
- Title of journal
- Measurement
- Article number
- -
- First page
- 467
- Volume
- 130
- Issue
- -
- ISSN
- 0263-2241
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
https://ars.els-cdn.com/content/image/1-s2.0-S0263224118306869-mmc1.fig
- 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
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work presented in this paper led to the authors being Finalists at the 2017 IChemE Global Awards in the category “Oil and Gas”. The outputs from this paper were incorporated into Shell’s internal technical journal (contact: former Delivery Manager - Diesel Innovation JDAs, Shell), providing exposure and promoting application to all aspects of Shell’s business. This paper led to £185k grant from Shell Global Solutions to investigate the effects of fuel cleanliness. This paper produced the first results from the new EPSRC Centre for Low Emissions Vehicle Research (Grant no EP/L011964/1), a world leading high-precision vehicle test facility.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -