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  • 标题:STATISTICAL PROCESS CONTROL (SPC) OF DAMAGE METRICS IN THE IMPEDANCE-BASED STRUCTURAL HEALTH MONITORING
  • 本地全文:下载
  • 作者:Quintiliano Siqueira Schroden NOMELINI ; José Waldemar Da SILVA ; Carlos Alberto GALLO
  • 期刊名称:Revista Brasileira de Biometria
  • 印刷版ISSN:0102-0811
  • 电子版ISSN:1983-0823
  • 出版年度:2021
  • 卷号:39
  • 期号:1
  • 页码:7-24
  • DOI:10.28951/rbb.v39i1.482
  • 出版社:Universidade Federal de Lavras
  • 摘要: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.
  • 关键词:Control carts; R&R study; structural health monitoring.
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