Please use this identifier to cite or link to this item:
|Title:||Structural damage detection using autoregressive-model-incorporating multivariate exponentially weighted moving average control chart||Authors:||Wang, Z.
Multivariate exponentially weighted moving average control chart
Statistical process control
Structural health monitoring
|Issue Date:||May-2009||Citation:||Wang, Z., Ong, K.C.G. (2009-05). Structural damage detection using autoregressive-model-incorporating multivariate exponentially weighted moving average control chart. Engineering Structures 31 (5) : 1265-1275. ScholarBank@NUS Repository. https://doi.org/10.1016/j.engstruct.2009.01.023||Abstract:||A novel structural damage detection scheme using autoregressive-model-incorporating multivariate exponentially weighted moving average (MEWMA) control chart is presented in this paper. This scheme comprises procedures based on the undamaged or reference state of the structure being monitored and those based on its damaged or current state. In the procedures based on the reference state, sets of multivariate data are formulated by a series of autoregressive (AR) model fitting, and these data are then subjected to MEWMA control chart analysis to establish a benchmark damage indicator. The damage indicator obtained in the procedures based on the current state is compared with the benchmark for the purpose of structural damage detection. The autocorrelation in the multivariate data is addressed, and special procedures to allow for the uncertainty involved in process parameter estimation as well as those for control limit determination are proposed for structural damage detection application. A numerically simulated case study is used to verify the efficacy of the proposed scheme and to show its advantages. A parametric study is also included to study the effects of some parameters and to demonstrate the robustness of the scheme against parameter selection. © 2009 Elsevier Ltd. All rights reserved.||Source Title:||Engineering Structures||URI:||http://scholarbank.nus.edu.sg/handle/10635/66246||ISSN:||01410296||DOI:||10.1016/j.engstruct.2009.01.023|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 17, 2019
WEB OF SCIENCETM
checked on May 8, 2019
checked on May 14, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.