Concepedia

Novel austenitic steel ageing classification method using eddy current testing and a support vector machine

Mónica P. Arenas, T. Rocha, Chandra Sekhar Angani, A. Lopes Ribeiro, Helena G. Ramos, Carlos Bruno Eckstein, J.M.A. Rebello, Gabriela Ribeiro Pereira

Measurement · 2018 · 30 citations · 24 references

Concepts

EngineeringMaterials EngineeringMaterials ScienceMachine LearningMechanical Behavior Of MaterialsMetallurgyAge AnalysisCondition MonitoringMaterial Degradation AssessmentSteel MaterialsSupport Vector MachinesAging TestsAustenitic SteelsEddy Current AnalysisEddy Current TestingMetal AgingSteel MetallurgySupport Vector ClassificationSupport Vector Machine Classification

References

24

LIBSVM

Chih-Chung Chang, Chih‐Jen Lin · ACM Transactions on Intelligent Systems and Technology · 2011 · 41.3K citations

Computing, Computer Science, Machine Learning +12

The Nature of Statistical Learning Theory

Stephan R. Sain, Vladimir Vapnik · Technometrics · 1996 · 4.1K citations

Computing, Computer Science, Mathematics +11

SQUIDs for nondestructive evaluation

W. G. Jenks, S.H.H. Sadeghi, John P. Wikswo · Journal of Physics D Applied Physics · 1997 · 148 citations

Natural Sciences, Electrical Engineering, Physics +16

Niobium additions in HP heat-resistant cast stainless steels

Glória Dulce de Almeida Soares, Luiz Henrique de Almeida, T.L. da Silveira et al. · Materials Characterization · 1992 · 140 citations

Engineering, Materials Engineering, Materials Science +10

Role of Nb in modifying the microstructure of heat-resistant cast HP steel

Gloria Dulce Barbabela, Luiz Henrique de Almeida, T.L. da Silveira et al. · Materials Characterization · 1991 · 82 citations

Engineering, Materials Engineering, Materials Science +12