Mechatronic modules diagnosis by use of fuzzy sets

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.

Control and Diagnostic Model of Brushless Dc Motor

“…The economic efficiency of diagnostic systems is due to increase in reliability and quality, accident risk and reject rate reduction, decrease of expensive equipment downtime, reduction of maintenance and repair costs and increase of service life. Currently, artificial intelligence technologies are widely used for control and diagnostics of electric motors [9][10][11][12][13]. …”

Comprehensive Approach to Technical Conditions of Electromechanical Units in Mechatronic Systems

“…Issues of bearing, induction motor and electromechanical unit diagnostics are discussed in [1][2][3][4][5][6][7][8][9][10][11][12][13]. Modern diagnostic tools apply artificial intelligence techniques [1,2,3,4,7,11].…”

“…Modern diagnostic tools apply artificial intelligence techniques [1,2,3,4,7,11]. Fuzzy logic system is one of the efficient tools of equipment diagnostics [1,2,3,4,10].…”

“…Currently, artificial intelligence technologies are widely used for control and diagnostics of electric motors [1,2,3,4,10,11,12,13].…”