Methods check the piping using a neural network

Autor:	E V Izmailova, T. O. Politova, Yu V Vankov, Sh G Ziganshin
Rok vydání:	2015
Předmět:	Pipeline transport Engineering Piping Artificial neural network business.industry Neural network modeling Product (mathematics) Control engineering Structural engineering business
Zdroj:	IOP Conference Series: Materials Science and Engineering. 86:012037
ISSN:	1757-899X 1757-8981
DOI:	10.1088/1757-899x/86/1/012037
Popis:	The paper discusses issues related to the control of pipeline transport. To control the pipelines on the analysis of acoustic signals propagating along the transported product, it is proposed to use the neural network modeling. An example of implementation of the program in Lab View environment for detecting defects of various sizes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b0fafbd3da514be533f41e495b612a5c https://doi.org/10.1088/1757-899x/86/1/012037 Zobrazit plný text záznamu