TY  - JOUR
AU  - Wenskat, Marc
TI  - First Attempts in Automated Defect Recognition in Superconducting Radio-Frequency Cavities
JO  - Journal of Instrumentation
VL  - 14
IS  - 3
SN  - 1748-0221
CY  - London
PB  - Inst. of Physics
M1  - PUBDB-2019-02509
M1  - arXiv:1906.08055
M1  - DESY-19-009
SP  - P06021
PY  - 2019
N1  - * Brief entry *arXiv admin note: text overlap with arXiv:1704.06080 ; publication: JINST 14 06 (2019) P06021 ; ;
AB  - The inner surface of superconducting cavities plays a crucial role to achieve highest accelerating fields. The industrial fabrication of cavities for the European X-Ray Free Electron Laser (EXFEL) and the International Linear Collider (ILC) HiGrade Research Project allowed for an investigation of this interplay with a large sample on different cavities undergoing a standardized procedure. For the serial inspection of the inner surface, the optical inspection robot OBACHT was constructed and to analyze the large amount of data, represented in the images of the inner surface, an image processing and analysis code was developed. New variables to describe the cavity surface were obtained. Two approaches using these variables and images to automatically detect defects has been implemented and tested. In addition, a decision-tree based approach of classifying defect free surfaces regarding their accelerating performance was tested and found to be physically valid.
LB  - PUB:(DE-HGF)29 ; PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000472134700010
DO  - DOI:10.1088/1748-0221/14/06/P06021
UR  - https://bib-pubdb1.desy.de/record/423251
ER  -