A fuzzy neural network approach to machine condition monitoring

Autor:	Roya Javadpour, Gerald M. Knapp
Rok vydání:	2003
Předmět:	Engineering General Computer Science Artificial neural network Series (mathematics) business.industry General Engineering Machine condition monitoring computer.software_genre Operator (computer programming) Machine vibration Artificial intelligence Data mining business computer
Zdroj:	Computers & Industrial Engineering. 45:323-330
ISSN:	0360-8352
Popis:	This paper is focused on the implementation of a predictive neural network for use as an operator's aid in the diagnosis of faults with high prediction accuracy in an automated manufacturing environment. In order to evaluate the performance of the model, the network has been tested using both simulated time series and real time machine vibration data collected in lab experiments.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::551e764c315803ff028d2c6f4f3eee11 https://doi.org/10.1016/s0360-8352(03)00039-1 Zobrazit plný text záznamu Full Text from ScienceDirect