Real-Time and Web-Based Structural Damage Detection Network for Multiple Structures
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-05449-5_5
Reference64 articles.
1. Krishnan, M., Bhowmik, B., Hazra, B., Pakrashi, V.: Real time damage detection using recursive principal components and time varying auto-regressive modeling. Mech. Syst. Signal Process. (2018). https://doi.org/10.1016/j.ymssp.2017.08.037
2. Bhowmik, B., Tripura, T., Hazra, B., Pakrashi, V.: Real time structural modal identification using recursive canonical correlation analysis and application towards online structural damage detection. J. Sound Vib. (2020). https://doi.org/10.1016/j.jsv.2019.115101
3. de Oliveira Dias Prudente dos Santos, J.P., Crémona, C., da Silveira, A.P.C., de Oliveira Martins, L.C.: Real-time damage detection based on pattern recognition. Struct. Concr. (2016). https://doi.org/10.1002/suco.201500092
4. Tripura, T., Bhowmik, B., Pakrashi, V., Hazra, B.: Real-time damage detection of degrading systems. Struct. Heal. Monit. (2020). https://doi.org/10.1177/1475921719861801
5. An, Y., Spencer, B.F., Ou, J.: Real-time fast damage detection of shear structures with random base excitation. Meas. J. Int. Meas. Confed. (2015). https://doi.org/10.1016/j.measurement.2015.07.006
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