Laser-induced damage degree assessment for filters based on static Bayesian network

Menglian Zhou; Jianmin Zhang; Deyan Cheng; Xinwei Lin; Chenghua Wei

doi:10.1117/12.2011130

16 May 2013 Laser-induced damage degree assessment for filters based on static Bayesian network

Menglian Zhou, Jianmin Zhang, Deyan Cheng, Xinwei Lin, Chenghua Wei

Proceedings Volume 8796, 2nd International Symposium on Laser Interaction with Matter (LIMIS 2012); 87960H (2013) https://doi.org/10.1117/12.2011130
Event: 2nd International Symposium on Laser Interaction with Matter (LIMIS 2012), 2012, Xi'an, Shaanxi, China

Abstract

Two methods were described to quantitatively evaluate the damage of optical filters, which were through detecting the change of transmission coefficient and damaged area of optical filters. Based on the quantitative evaluation results, the laser-induced damage of optical filters was classified five damage degrees, which were undamaged, color changed, slight melt, middle melt and serious melt. The laser-induced damage was uncertain event because there were many uncertain factors to affect the laser-induced damage degree of optical filters. In view of the advantage of the Bayesian network in processing indefinite information, this paper emphatically studied the laser-induced damage degree assessment method of optical filters based on Static Bayesian network. A Bayesian model was constructed to assess the damage degree of filters. Upon our laser-induced damage experiments on the optical filters, the results of the quantitative evaluation were compared with the assessment results of Bayesian network model, which indicated that Bayesian network method was available to assess the laser-induced damage degree of optical filters.

Citation Download Citation

Menglian Zhou, Jianmin Zhang, Deyan Cheng, Xinwei Lin, and Chenghua Wei "Laser-induced damage degree assessment for filters based on static Bayesian network", Proc. SPIE 8796, 2nd International Symposium on Laser Interaction with Matter (LIMIS 2012), 87960H (16 May 2013); https://doi.org/10.1117/12.2011130

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