MONITORING OF TECHNICAL CONDITION OF MOTORS AND BEARIGS OF WOODWORKING EQUIPMENT

This article describes how to solve problems of diagnostics motors and bearings in equipment for woodworking based on the method of artificial intelligence focusing on methods of fuzzy logic. Woodworking equipment operation - the presence of wood dust, which is abrasive and lead to increased wear on mechanical components of woodworking equipment. A logical-linguistic diagnostic model of electric motors and bearings has been developed on basis of fuzzy logic. The calculated rules determine relationships between the technical condition and the diagnostic parameters and parameter trends. Experimental results of technical condition diagnostics are discussed. Example of described diagnostic methods is its application in the diagnosis of BWS sander machine 6/190 BISON WERKE company with parameters: grinding width is 1900 mm,induction motor with power is 90 kW, synchronous speed of motor is 1500 rpm, Plate feed speed is 20 ms(-1). Vibration measurement was performed on the stationary part of the motor during grinding operations.