Szczegóły publikacji
Opis bibliograficzny
Acoustics signal interpretation using artificial neural network computation / Wiesław WSZOŁEK, Tadeusz WSZOŁEK // Mechanika / Akademia Górniczo-Hutnicza im. Stanisława Staszica, Kraków ; ISSN 0239-5282. — 2003 — t. 22 z. 3, s. 471–478. — Bibliogr. s. 478, Summ.
Autorzy (2)
Dane bibliometryczne
| ID BaDAP | 13560 |
|---|---|
| Data dodania do BaDAP | 2003-06-12 |
| Rok publikacji | 2003 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Mechanika (Kraków) / Akademia Górniczo-Hutnicza im. Stanisława Staszica, Kraków |
Abstract
The subject of the present paper is a proposition of methodology for construction of systems for acoustic signals recognition, based on utilization of artificial intelligence methods and techniques. In the paper an attempt is made to create a new approach to construction of a diagnostic system, capable of automated assessment of the condition of technological processes. This is a concept of replacing the simple signal recognition process by more advanced method of its analysis, called a process of automated understanding of the acoustic signal. The method is based on utilization of an internal model for generation of the signal considered and it is directed towards the structure analysis of the investigated sound signal. Thus the research is oriented on the construction of systems based on analysis of objectively registered signals, generated by the objects being under diagnostic evaluation. The present considerations have been restricted to systems performing automated assessment of a selected class of vibroacoustic signals, and dedicated to diagnosis of technical and medical objects.
