@article{Brierley:2014:10.1098/rspa.2014.0167,
author = {Brierley, N and Tippetts, T and Cawley, P},
doi = {10.1098/rspa.2014.0167},
journal = {Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences},
pages = {1--25},
title = {Data fusion for automated non-destructive inspection},
url = {http://dx.doi.org/10.1098/rspa.2014.0167},
volume = {470},
year = {2014}
}

Download

TY  - JOUR
AB  - In industrial non-destructive evaluation (NDE), it is increasingly common for data acquisition to be automated, driving a recent substantial increase in the availability of data. The collected data need to be analysed, typically necessitating the painstaking manual labour of a skilled operator. Moreover, in automated NDE a region of an inspected component is typically interrogated several times, be it within a single data channel due to multiple probe passes, across several channels acquired simultaneously or over the course of repeated inspections. The systematic combination of these diverse readings is recognized to offer an opportunity to improve the reliability of the inspection, but is not achievable in a manual analysis. This paper describes a data-fusion-based software framework providing a partial automation capability, allowing component regions to be declared defect-free to a very high probability while readily identifying defect indications, thereby optimizing the use of the operator's time. The system is designed to applicable to a wide range of automated NDE scenarios, but the processing is exemplified using the industrial ultrasonic immersion inspection of aerospace turbine discs. Results obtained for industrial datasets demonstrate an orders-of-magnitude reduction in false-call rates, for a given probability of detection, achievable using the developed software system.
AU  - Brierley,N
AU  - Tippetts,T
AU  - Cawley,P
DO  - 10.1098/rspa.2014.0167
EP  - 25
PY  - 2014///
SN  - 1364-5021
SP  - 1
TI  - Data fusion for automated non-destructive inspection
T2  - Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
UR  - http://dx.doi.org/10.1098/rspa.2014.0167
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000336184600022&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://royalsocietypublishing.org/doi/10.1098/rspa.2014.0167
VL  - 470
ER  - 

Download