A neural network based approach for background noise reduction in airborne acoustic emission of a machining process

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Detalles Bibliográficos
Publicado en:	Journal of Mechanical Science and Technology vol. 31, no. 7 (Jul 2017), p. 3171
Autor principal:	Zafar, T
Otros Autores:	Kamal, K, Sheikh, Z, Mathavan, S, Ali, U, Hashmi, H
Publicado:	Springer Nature B.V.
Materias:	Comminution Accuracy Grinding mills Artificial neural networks Turning (machining) Back propagation networks Noise Signal reconstruction Noise prediction (aircraft) Tool wear Discrete cosine transform Background noise Acoustic noise Signal processing Neural networks Clustering Noise propagation Milling (machining) Noise reduction Self organizing maps Acoustic emission Acoustics Filtration Downtime Vector quantization
Acceso en línea:	Citation/Abstract Full Text - PDF
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