Application and analysis of multi-rate sampled in structural health monitoring system
| Autor: | Nan Yao, Xuguang Qiu, Qingxia Dong, Haiyan Chang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Data processing Computer science Noise (signal processing) business.industry Real-time computing General Engineering 02 engineering and technology 021001 nanoscience & nanotechnology Computer Science Applications Computational Mathematics 020901 industrial engineering & automation Overshoot (signal) Structural health monitoring 0210 nano-technology Frequency domain decomposition MATLAB business computer Digital signal processing Interpolation computer.programming_language |
| Zdroj: | Journal of Computational Methods in Sciences and Engineering. 16:317-328 |
| ISSN: | 1875-8983 1472-7978 |
| DOI: | 10.3233/jcm-160619 |
| Popis: | Huge and abundant measured information from a structural health monitoring system contain a large amount of noise and uncertain information. Multi-rate data processing can reduce data processing time and meet the real-time requirements in health monitoring systems. Multi-rate digital signal processing includes extraction and interpolation. By frequency domain decomposition method multi-rate systems is converted to an equivalent single-rate system, and simulated with simulink of MATLAB. In comparison with the simulation results of multi-rate system and single-rate system, we can conclude that in a multi-rate system the stability margin is increased, system response is accelerated and overshoot is reduced, so the dynamic quality of the system is improved. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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