A framework for data compression and damage detection in structural health monitoring applied on a laboratory three-story structure

  • Manoel Afonso Pereira de Lima Universidade Federal do Pará
  • Claudomiro Sales Universidade Federal do Pará
  • Adam Santos Universidade Federal do Pará
  • Reginaldo Santos Universidade Federal do Pará
  • Moisés Silva Universidade Federal do Pará
  • João Costa Universidade Federal do Pará
  • Marissa Carvalho Universidade Federal do Pará
  • Michell Cruz Universidade Federal do Pará
Palavras-chave: Framework, Data Compression, Damage Detection, Environmental Effects, Operational Effects, Structural Health Monitoring

Resumo

Structural Health Monitoring (SHM) is an important technique used to preserve many types of structures in the short and long run, using sensor networks to continuously gather the desired data. However, this causes a strong impact in the data size to be stored and processed. A common solution to this is using compression algorithms, where the level of data compression should be adequate enough to allow the correct damage identification. In this work, we use the data sets from a laboratory three-story structure to evaluate the performance of common compression algorithms which, then, are combined with damage detection algorithms used in SHM. We also analyze how the use of Independent Component Analysis, a common technique to reduce noise in raw data, can assist the detection performance. The results showed that Piecewise Linear Histogram combined with Nonlinear PCA have the best trade-off between compression and detection for small error thresholds while Adaptive PCA with Principal Component Analysis perform better with higher values.

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Biografia do Autor

Manoel Afonso Pereira de Lima, Universidade Federal do Pará
Mestrando em Ciência da Computação com ênfase em inteligência artificial e gerenciamento de dados.
Publicado
2016-09-01
Como Citar
[1]
Pereira de Lima, M., Sales, C., Santos, A., Santos, R., Silva, M., Costa, J., Carvalho, M. e Cruz, M. 2016. A framework for data compression and damage detection in structural health monitoring applied on a laboratory three-story structure. Revista Brasileira de Computação Aplicada. 8, 2 (set. 2016), 129-143. DOI:https://doi.org/10.5335/rbca.v8i2.5703.
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