Errors classification method for electric motor torque measurement

The use of high-precision measuring instruments for determining the torque electric motors in such areas as medicine, motor transport, shipping, aviation requires improvement metrological characteristics instruments. This, turn, an accurate assessment their error. Of particular importance is measurement power at high-speed installations, where some cases conventional systems are either unsuitable or have low accuracy. Thus, turbomachines aviation, and rocketry creates urgent need development high-quality conducting precise research. In absence means accurately error, attempts made to predict them. This makes it possible timely identify influence many factors on accuracy increase error arises, a rule, through abrupt changes conditions. Such errors unpredictable, significance difficult predict. course study, K-nearest neighbors method was used, establish criteria which gross may occur. results obtained make threshold values maximum deviation can be established under various conditions experiment. computational experiment using method, following were investigated: vibration; temperature rise sensors; instabilities supply voltage motor, affect strain gauge frequency converter. As result, depending indicated factors. It has been experimentally confirmed that used classify deviations nominal value A stand developed includes sensor photosensitive speed motor. Signal conversion from these sensors implemented basis ESP8266 microcontroller