Detecting Compositional Changes in Dielectric Materials Simulated by Three-dimensional RC Network Models

Autor(es)

Galvao, Roberto K. H. ; Matsuura, Jackson P. ; Colombo Junior, Jose Roberto ; Hadjiloucas, Sillas

• Tipo de documento: Artigo Científico
• Fonte: IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION; v. 24, n. 2, p. 1141-1152, APR 2017.
• Citações Web of Science: 3

Resumo

This work discusses the detection of small compositional changes in materials that have microstructures containing conducting and dielectric phases, which can be described by networks of resistive (R) and capacitive (C) components in a three-dimensional lattice. For this purpose, a principal component analysis (PCA) method is employed to discriminate normal samples from samples with altered composition on the basis of statistics extracted from the waveform of the network response to a given excitation. This approach obviates the requirement for multivariate regression and simplifies experimental workload for model-building, since only data from normal samples are required in the development of the PCA model. Waveform variability of the excitation source is also accounted for through the use of a nominal model derived using subspace identification. This enables standardization and software based metrology transfer across different labs. The effect of network size on the capability of detecting minute compositional changes was assessed. For networks of 520 components, it was possible to identify changes in the fraction of capacitors down to 10(-2) at +/- 2 sigma confidence levels. (AU)

• Processo FAPESP: 11/13777-8 - Espectroscopia terahertz no domínio do tempo: desenvolvimento de métodos analíticos, técnicas de processamento de sinais, estudos bioquímicos e fundamentais
• Beneficiário: Celio Pasquini
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 11/17610-0 - Monitoramento e controle de sistemas dinâmicos sujeitos a falhas
• Beneficiário: Roberto Kawakami Harrop Galvão
• Modalidade de apoio: Auxílio à Pesquisa - Temático