STATISTICAL PROCESS CONTROL (SPC) OF DAMAGE METRICS IN THE IMPEDANCE-BASED STRUCTURAL HEALTH MONITORING
Main Article Content
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.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
ALMAS, F. Implementação de controle estatístico de processos em uma empresa têxtil. 2003. 120f. Dissertação (Mestrado em Engenharia de Produção) -Universidade Federal de Itajubá, Itajubá, 2003
AUTOMOTIVE INDUSTRY ACTION GROUP (AIAG). Measurement Systems Analysis Reference Manual, 3.ed. Chrysler, Ford, General Motors Supplier Quality Requirements Task Force, 2002
DEMING, W. E. Qualidade: a revolução da administração. Rio de Janeiro: Marques Saraiva, 1990. 367p.
HICKS, C. R. Fundamental concepts in the design of experiments. 2.ed. New York: Holt, Rinehart and Winston, 1973. 349p.
KUME, H. Métodos estatísticos para melhoria da qualidade. São Paulo: Editora Gente, 1993. 245p.
MINITAB® RELEASE 14 for Windows. Copyright 1972-2004.
MONTGOMERY, D. C. Introdução ao controle estatístico da qualidade. 7.ed. Rio de Janeiro: LTC, 2016. 572p.
NETER, J.; WASSERMAN, W.; KUTNER, M. H. Applied linear statistical models.2.ed. Irwin: USA, 1985. 1127p.
NOMELINI, Q. S. S. Padrões de não-aleatoriedade no controle estatístico de processo. 2007. 182f. Dissertação (Mestrado em Estatística e Experimentação Agropecuária) –Departamento de Ciências Exatas (DEX), Universidade Federal de Lavras, Lavras, 2007.
NOMELINI, Q. S. S. Enfoque estatístico na validação de métodos para teste de germinação de sementes florestais. 2012. 163f. Tese (Doutorado em Agronomia) -Universidade Federal de Uberlândia, Uberlândia, 2012.
PEAIRS, D. M. High frequency modeling and experimental analysis for implementation of impedance-based structural health monitoring. 2006. 150f. Tese (Doutorado) -Virginia Polytechnic Institute and State University, 2006.
PINTO JÚNIOR, D. L. Repetitividade e reprodutibilidade de sistemas de medição. In: 36º REUNIÃO REGIONAL DA ASSOCIAÇÃO BRASILEIRA DE ESTATÍSTICA, 36, 2003, João Pessoa. Anais... João Pessoa: UFPB, 2003. p.106.
STEEL, R. G. D.; TORRIE, J. H. Principles and procedures of statistics: a biometrical approach. New York: Mc-Graw Hill, 1981. 633p.
VEIT, E. O controle estatístico de processos na indústria de cabinagem de Veículos: um estudo de caso.2003. 104f. Dissertação (Mestrado em Engenharia de Produção) -Universidade Federal de Santa Catarina, Florianópolis, 2003.
WERKEMA, M. C. C. Ferramentas estatísticas básicas para o gerenciamento de processos. 2.ed. Belo Horizonte: QFCO, 1995. 210p