Diameter detection and process quality prediction for optimal control of enameled wires

Hai-tao Su; Hua Dong; Bo Xu

doi:10.1117/12.716317

25 October 2006 Diameter detection and process quality prediction for optimal control of enameled wires

Hai-tao Su, Hua Dong, Bo Xu

Proceedings Volume 6280, Third International Symposium on Precision Mechanical Measurements; 628030 (2006) https://doi.org/10.1117/12.716317
Event: Third International Symposium on Precision Mechanical Measurements, 2006, Urumqi, China

Abstract

The quality of enameled wires impacts the reliability of motor products, wiring products and electronic products. The diameter of line-shape material usually is measured by means of photoelectricity energy, laser scanning, laser diffraction and projection imaging. A bi-light-source projection method was proposed by Zhao Bin etc., which measured 0.1-1.0mm diameter of enameled wires by using bi-refringent-crystal. A new method, single-light-source projection, is proposed in this paper. A beam from semiconductor laser light-source was disparted into two beams by Fresnel bi-prism. Then, the two beams projected onto an enameled wire and detected by CCD. The accuracy of the new method is much higher due to the magnified projection. Aiming at multi-factor input and nonlinear output of the enameled wires' production process, the RBF neural network was selected to pre-treat the process data obtained by our new method to set up dynamical training-set and predict quality. The simulation training results have proved that RBF neural network prediction method costs less training time, has less prediction errors and less samples. In summing up, it may be stated that single-light-source projection and RBF neural network prediction method are very suitable for real-time optimal controlling on enameled wires' production process.

Citation Download Citation

Hai-tao Su, Hua Dong, and Bo Xu "Diameter detection and process quality prediction for optimal control of enameled wires", Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 628030 (25 October 2006); https://doi.org/10.1117/12.716317

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