Convolutional Neural Networks for Real-Time and Wireless Damage Detection
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-12115-0_17
Reference49 articles.
1. Karbhari, V.M., Ansari, F. (eds.): Structural Health Monitoring of Civil Infrastructure Systems. Elsevier (2009)
2. Friswell, M.I., Adhikari, S.: Structural health monitoring using shaped sensors. Mech. Syst. Signal Process. 24(3), 623–635 (2010). https://doi.org/10.1016/j.ymssp.2009.10.009
3. Wang, Y., Lynch, J.P., Law, K.H.: A wireless structural health monitoring system with multithreaded sensing devices: DESIGN and validation. Struct. Infrastruct. Eng. 3, 103–120 (2007). https://doi.org/10.1080/15732470600590820
4. Straser, E.G., Kiremidjian, A.S., Meng, T.H., Redlefsen, L.: A modular, wireless network platform for monitoring structures. In: 16th Interational Modal Analysis Conference, pp. 450–456 (1998). https://doi.org/10.1016/S0920-5489(99)91996-7
5. Klis, R., Chatzi, E.N.: Vibration monitoring via spectro-temporal compressive sensing for wireless sensor networks. Struct. Infrastruct. Eng. 13, 195–209 (2017). https://doi.org/10.1080/15732479.2016.1198395
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