Neural Networks on Predictive Maintenance of Turbomachinery

Autor:	Tiago A. Piedras Lopes, Antonio Carlos Ramos Troyman
Rok vydání:	1997
Předmět:	Engineering Data acquisition Artificial neural network Computer program business.industry Reliability (computer networking) Data quality Turbomachinery Control engineering Fuzzy control system business Predictive maintenance Reliability engineering
Zdroj:	IFAC Proceedings Volumes. 30:983-988
ISSN:	1474-6670
DOI:	10.1016/s1474-6670(17)42528-6
Popis:	Predictive maintenance is becoming a widespread methodology. On-line monitoring evaluation of machinery mechanical condition is justified by low cost and high reliability of data acquisition systems. The use of artificial intelligent techniques is a suitable solution for handling the large amount of information that is generated. This paper introduces a computer program for on-line turbomachinery monitoring which is running at an oil plant and involves the analysis of vibration data. The introduction of neural networks associated to fuzzy systems will permit to verify the input data quality, to improve the alarms and to detect features that will permit to develop a reliable diagnostic.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dd3234c2bbadf91fd1a4c34d72119694 https://doi.org/10.1016/s1474-6670(17)42528-6 Zobrazit plný text záznamu