Homogeneity-based approach for bearing fault detection in induction motors by means of vibrations

摘要: Electrical machines, in particular induction motors (IM), are important parts an industrial plant, representing 89% of power consumption. Bearings the and one principal causes their malfunction; hence, bearing fault early detection is very important, however its a challenging because measured signals acquired noisy conditions have transient characteristics. Hence, system to detect potential faults into bearings rotatory machinery stage can benefit industry. In this work, novel proposal that makes use homogeneity (HO) algorithm for defect, outer race (OBD), presented. The HO method introduced first time changes produced normal regime (steady-state) vibration IM by OBD. These contain subtle modifications on motor dynamic features due presence. presented results show proposed methodology capable distinguishing between with OBD healthy high efficiency.