US 12,149,196 B2
Systems and methods for improved fault diagnostics of electrical machines under dynamic load oscillations
Ali Shahid, Bengaluru (IN); Sumitha Mohan, Bengaluru (IN); Rupam Mukherjee, Hyderabad (IN); Arvind Kumar Tiwari, New York, NY (US); and Balakrishna Pamulaparthy, Hyderabad (IN)
Assigned to GE Infrastructure Technology LLC, Greenville, SC (US)
Filed by General Electric Technology GmbH, Baden (CH)
Filed on Oct. 29, 2021, as Appl. No. 17/452,838.
Prior Publication US 2023/0139907 A1, May 4, 2023
Int. Cl. H02P 29/028 (2016.01); G01R 31/34 (2020.01)
CPC H02P 29/028 (2013.01) [G01R 31/343 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, by a processor, operational data associated with a motor;
determining, by the processor, using one or more algorithms, and based on the operational data, processed data comprising a first ratio of an instantaneous real power and a reactive power of the motor;
determining, by the processor, using a frequency domain transform of the processed data, a frequency domain representation of the processed data;
calculating, by the processor, a fault value of the frequency domain representation, the fault value corresponding to a first type of motor failure;
determining, by the processor and based on the fault value, a baseline of operation for the motor, wherein the baseline is associated with detecting a future fault in the motor;
monitoring, by the processor, a second ratio of a first energy around a broken rotor fault frequency to a second energy around the broken rotor fault frequency in the frequency domain;
monitoring, by the processor, a difference between a first angle of a first vector, resulting from a sum of first frequency components around the broken rotor fault frequency, and a second angle of a second vector, resulting from a second sum of second frequency components around the broken rotor fault frequency;
determining, by the processor, based on the second ratio and the difference, a deviation from the baseline, wherein the deviation is above a threshold amount; and
causing to send, by the processor and based on determining the deviation, an alert indicative of a fault in the motor.