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Smart Structures and Systems Volume 20, Number 1, July 2017 , pages 35-42 DOI: https://doi.org/10.12989/sss.2017.20.1.035 |
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A simple and efficient data loss recovery technique for SHM applications |
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Venkata Sainath Gupta Thadikemalla and Abhay S. Gandhi
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| Abstract | ||
| Recently, compressive sensing based data loss recovery techniques have become popular for Structural Health Monitoring (SHM) applications. These techniques involve an encoding process which is onerous to sensor node because of random sensing matrices used in compressive sensing. In this paper, we are presenting a model where the sampled raw acceleration data is directly transmitted to base station/receiver without performing any type of encoding at transmitter. The received incomplete acceleration data after data losses can be reconstructed faithfully using compressive sensing based reconstruction techniques. An in-depth simulated analysis is presented on how random losses and continuous losses affects the reconstruction of acceleration signals (obtained from a real bridge). Along with performance analysis for different simulated data losses (from 10 to 50%), advantages of performing interleaving before transmission are also presented. | ||
| Key Words | ||
| data losses; structural health monitoring; sparse reconstruction; compressive sensing; direct transmission | ||
| Address | ||
| Venkata Sainath Gupta Thadikemalla and Abhay S. Gandhi: Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, pin-440010, India | ||