US 12,436,194 B2
Fault detection in synchronous machines
Hossein Ehya, Trondheim (NO); and Arne Nysveen, Trondheim (NO)
Assigned to NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY (NTNU), Trondheim (NO)
Appl. No. 17/754,840
Filed by NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY (NTNU), Trondheim (NO)
PCT Filed Oct. 4, 2020, PCT No. PCT/EP2020/078951
§ 371(c)(1), (2) Date Apr. 13, 2022,
PCT Pub. No. WO2021/074248, PCT Pub. Date Apr. 22, 2021.
Claims priority of application No. 1914844 (GB), filed on Oct. 14, 2019.
Prior Publication US 2024/0369634 A1, Nov. 7, 2024
Int. Cl. G01R 31/34 (2020.01)
CPC G01R 31/34 (2013.01) 23 Claims
OG exemplary drawing
 
1. A method of fault detection in synchronous machines, wherein the method is carried out during start-up or shut-down of a synchronous machine, during which there is a transient magnetic field; the method comprising:
using at least one sensor to determine sensor measurements of one or more of magnetic field strength, rotor current or voltage, stator current or voltage, and vibration;
processing the sensor measurements to identify data artefacts linked to the transient magnetic field, wherein the processing includes one or more signal processing techniques based on any of time, frequency, and both time and frequency; and
analysing an output of the processing in order to identify and categorise irregularities in the transient magnetic field that are indicative of a fault in the synchronous machine, wherein the analysing includes using computer aided pattern recognition to recognise patterns in the processed sensor measurements.