论文信息 - Real-time defect detection using multiaperture fiber optic sensors and machine learning

Real-time defect detection using multiaperture fiber optic sensors and machine learning

Smooth surfaces are widely applied in modern technology. Therefore a large variety of approaches for the determination of microtopographic surface descriptors has been developed. But there is a lack in adapted techniques for in-process surface assessment and defect detection. This paper deals with the development of an in-process sensor based on fiber optics and multivariate statistical signal processing.

Hendrik Rothe | Angela Duparre | Peter Riedel | Monika Timm

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