| Journal: | Journal of applied research and technology |
| Database: | PERIÓDICA |
| System number: | 000403194 |
| ISSN: | 1665-6423 |
| Authors: | Niresh, J1 Neelakrishnan, S1 Subha Rani, S2 |
| Institutions: | 1PSG College of Technology, Department of Automobile Engineering, Coimbatore, Tamil Nadu. India 2PSG College of Technology, Department of Electronics & Communication Engineering, Coimbatore, Tamil Nadu. India |
| Year: | 2016 |
| Season: | Dic |
| Volumen: | 14 |
| Number: | 6 |
| Pages: | 405-414 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental, aplicado |
| English abstract | Errors arise in the measurement of sound absorption coefficient using impedance tube due to various factors. Minimizing the errors require additional hardware or proper calibration of certain components. This paper proposes a new intelligent error correction mechanism using mathematical modelling and soft computing paradigms. A low cost impedance tube is designed, developed and its performance is compared with a commercially available standard tube. A particle swarm optimization and neural network based system is developed to reduce the random and systematic errors in the developed impedance tube. The proposed system is tested using various porous and non-porous functional textile materials and the results are validated. A significant reduction in error is obtained at all frequency ranges with PSO based prediction method |
| Disciplines: | Ingeniería |
| Keyword: | Ingeniería electrónica, Coeficiente de absorción de sonido, Tubo de impedancia, Corrección de errores, Redes neuronales |
| Keyword: | Engineering, Electronic engineering, Sound absorption coefficient, Impedance tube, Error correction, Neural networks |
| Full text: | Texto completo (Ver HTML) |
