Estimation of Rotor Slot Size Expansion in Industrial Drives Using Dual Tree Wavelet Transform and Poisson Regression

During the operation of industrial drives condition monitoring of the rotor lamination surface, rotor slots are carried out using rotor slot size expansion (RSSE) prediction method and dual tree wavelet transform (DTWT)-Poisson regression (PR). Industrial drives’ rotor slot enlargement is caused by the high levels of thermal stress. The rotor winding, which is connected parallel to the rotor lamination, experiences heat from the thermal stress caused by overcurrent, which causes the rotor slots on the rotor lamination to enlarge. Using sensor signals from the temperature sensors, the RSSE caused by thermal stress on the rotor is estimated. Using microscopic camera pictures, the RSSE on the rotor lamination surface is manually measured. The values of the sensor signal and the manually measured rotor slot values are used to calculate the automatic prediction of RSSE on the rotor lamination surface. According to an experimental investigation, a rotor experiencing significant damage from RSSE accounts for more than 1.5% of its lamination surface. When comparing the RSSE prediction accuracy to manual measurements from microscopic camera pictures, it is approximately 95.9%. RSSE prediction helps to prevent errors in industrial drives and reduce the damage.