In:
REVISTA BRASILEIRA DE BIOMETRIA, Revista Brasileira de Biometria, Vol. 39, No. 1 ( 2021-03-30), p. 7-24
Abstract:
Statistical Process Control (SPC) stands out for the use of control charts and for repeatability and reproducibility (R & R) techniques. This work aimed at its applications in the aspects of pre-processing of structural monitoring. The experiment was carried out in a completely randomized design (CRD) with two sources of variation: eight aluminum beams with piezoelectric patches and five types of damage (D1 = baseline, D2 = 0.6g, D3 = 1.1g, D4 = 1.6g, D5 = 2.2g). All measurements were gathered at 30oC and with 20 repetitions for each condition case, producing a damage metric. In the R & R study, a low variation of repetition was observed (9.84%), but a high reproducibility (72.39%), representing that the damage metrics were similar for each situation, but a high variation among beams and damages. Based on this evaluation, the control charts helped to verify in which beams and damages these greatest variabilities were found. Concluding, the control charts for mean and individual measures as well as the R & R study were interesting tools for raw data pre-processing step for measurement error detection.
Type of Medium:
Online Resource
ISSN:
1983-0823
DOI:
10.28951/rbb.v39i1.482
Language:
Unknown
Publisher:
Revista Brasileira de Biometria
Publication Date:
2021
detail.hit.zdb_id:
3140847-3
detail.hit.zdb_id:
3011152-3
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