Abstract
Fiber optical gyro (FOG) as one of the most important component in Fiber inertial measure unit (FIMU), the production quality of which will affect the accuracy of FOG and FIMU; through decade years improvement in craftwork design, the main target has shifted to quality control promotion during production. This paper has proposed a new methodology for automatic production quality control; the method uses the computer vision technology to apply a system which can distinguish real-time fiber ring production images, applying pattern recognition of data mining technology for understanding of the type of fault production image. Pre-processing of computer vision has treatment to distil the image from real-time noised image for feature achievement, upon the qualified conducted result; a fast pattern recognition method support vector regression (SVR) has fast convergence which has utilized delightful result.
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Li, X., Liu, H. (2015). A New Automatic Quality Control System for Fiber Ring Production. In: Long, S., Dhillon, B.S. (eds) Proceedings of the 15th International Conference on Man–Machine–Environment System Engineering. MMESE 2015. Lecture Notes in Electrical Engineering, vol 356. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48224-7_31
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DOI: https://doi.org/10.1007/978-3-662-48224-7_31
Publisher Name: Springer, Berlin, Heidelberg
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