@article{b1ef40f4-3c7c-4bcc-a90e-ea6fe8d99339,
author = {Joanna Fabiś-Domagała},
title = {FMEA analysis of a hydraulic cylinder using artifical neural network.....67
	G. Filo: Asynchronous buffer read method in development of DAQ application
	for supporting research of hydraulic systems},
journal = {Czasopismo Techniczne},
volume = {2015},
number = {Mechanika Zeszyt 2-M (7) 2015},
year = {2016},
issn = {0011-4561},
pages = {67-75},keywords = {FMEA; analysis; failure; neural network},
abstract = {This paper presents Failure Mode and Effects Analysis (FMEA) on the hydraulic cylinder using matrix analysis and artificial neural network. Functions for each cylinder components were identified. Also relationships between pairs for interacting components and their potential failures where identified. Training and testing of an artificial neural network was conducted in MATLAB software environment.},
doi = {},
url = {https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/fmea-analysis-of-a-hydraulic-cylinder-using-artifical-neural-network-67-g-filo-asynchronous-buffer-read-method-in-development-of-daq-application-for-supporting-research-of-hydraulic-systems}
}