"A novel defect depth measurement method based on nonlinear system identification for pulsed thermographic inspection"
- Submitting institution
-
Cranfield University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 15100458
- Type
- D - Journal article
- DOI
-
10.1016/j.ymssp.2016.08.033
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 382
- Volume
- ="85"
- Issue
- ="February"
- ISSN
- 0888-3270
- Open access status
- Compliant
- Month of publication
- August
- 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
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The outcome of this research contributed to the Lloyd's Register Foundation-funded project (£108K, GA\100113, £ 107,748) for counterfeit electronic components detection in collaboration with the Industrial Technology Research Institute (ITRI), Taiwan, and Elan Business Support.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
