Title :
Mechatronic modules diagnosis by use of fuzzy sets
Author :
Nikitin, Yury ; Abramov, Ivan
Author_Institution :
Mechatron. Syst. Dept., Izhevsk State Tech. Univ., Izhevsk, Russia
Abstract :
One of the most important conditions of the effective automated production functioning is reliable operation. Modern process equipment offers mechatronic systems consisting of mechatronic modules. One of the possible ways of improving the process equipment reliability is the use of diagnostics. For making decisions about the technical condition it is advisable to use the fuzzy set theory, which adequately takes into account different uncertainties.
Keywords :
decision making; fuzzy set theory; mechanical engineering computing; mechatronics; production engineering computing; production equipment; automated production functioning; decisions making; fuzzy set theory; mechatronic modules diagnosis; mechatronic systems; process equipment; process equipment reliability; Current; Fault detection; Fuzzy sets; Mechatronics; Simulation; Temperature sensors; Vibrations;
Conference_Titel :
MECHATRONIKA, 2011 14th International Symposium
Conference_Location :
Trencianske Teplice
Print_ISBN :
978-1-61284-821-1
DOI :
10.1109/MECHATRON.2011.5961091
