A Bayesian Approach to Automated Optical Inspection for Solder Jet Ball Joint Defects in the Head Gimbal Assembly Process
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[1] Lei Yang,et al. Bayesian Belief Network-based approach for diagnostics and prognostics of semiconductor manufacturing systems , 2012 .
[2] Jing Li,et al. Fault detection and isolation of faults in a multivariate process with Bayesian network , 2010 .
[3] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[4] Verron Sylvain,et al. Fault Detection with Bayesian Network , 2008 .
[5] Fan-Hui Kong,et al. A New Method of Inspection Based on Shape from Shading , 2008, 2008 Congress on Image and Signal Processing.
[6] Herbert A. Sturges,et al. The Choice of a Class Interval , 1926 .
[7] Franz Pernkopf,et al. Detection of surface defects on raw steel blocks using Bayesian network classifiers , 2004, Pattern Analysis and Applications.
[8] Lambert Schomaker,et al. Variants of the Borda count method for combining ranked classifier hypotheses , 2000 .
[9] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[10] Xianmin Zhang,et al. Feature-Extraction-Based Inspection Algorithm for IC Solder Joints , 2011, IEEE Transactions on Components, Packaging and Manufacturing Technology.
[11] Horng-Hai Loh,et al. Printed circuit board inspection using image analysis , 1995, Proceedings IEEE Conference on Industrial Automation and Control Emerging Technology Applications.
[12] James A. Stori,et al. A Bayesian network approach to root cause diagnosis of process variations , 2005 .
[13] P. Spirtes,et al. An Algorithm for Fast Recovery of Sparse Causal Graphs , 1991 .