Turn to Turn Fault Detection, Discrimination, and Faulty Region Identification in the Stator and Rotor Windings of Synchronous Machines Based on the Rotational Magnetic Field Distortion
被引:42
作者:
Afrandideh, Saeed
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机构:
Shahid Beheshti Univ, Abbaspour Sch Engn, Dept Elect Engn, HV MV Devices Protect Res Lab, Tehran 1983969411, IranShahid Beheshti Univ, Abbaspour Sch Engn, Dept Elect Engn, HV MV Devices Protect Res Lab, Tehran 1983969411, Iran
Afrandideh, Saeed
[1
]
Milasi, Mostafa Eshaghi
论文数: 0引用数: 0
h-index: 0
机构:
Shahid Beheshti Univ, Abbaspour Sch Engn, Dept Elect Engn, HV MV Devices Protect Res Lab, Tehran 1983969411, IranShahid Beheshti Univ, Abbaspour Sch Engn, Dept Elect Engn, HV MV Devices Protect Res Lab, Tehran 1983969411, Iran
Stator windings;
Rotors;
Voltage measurement;
Windings;
Magnetic fields;
Harmonic analysis;
Fault detection;
fault region identification;
rotational magnetic field;
rotor winding;
stator windings;
synchronous generators;
INTERTURN SHORT-CIRCUIT;
GENERATOR;
DIAGNOSIS;
MOTORS;
MODEL;
INFORMATION;
FAILURES;
D O I:
10.1109/TEC.2019.2951528
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
A flux-based technique is proposed for the on-line detection, localization and discrimination of stator and rotor turn-to-turn faults in synchronous generators, using the measured air-gap rotational magnetic field. Simple magnetic field sensors (MFSs) are installed in the stator slots at different regions, and the corresponding induced voltages are measured. Several differential voltages are then obtained to give a picture of the rotational magnetic field symmetricity, whose distortions indicate the presence of the stator or rotor faults. The proposed diagnostic technique is presented in detail and validated initially by simulation results obtained with a finite element simulation package and afterwards through the experimental tests. The obtained results demonstrate that the proposed technique can be used to detect and discriminate stator and rotor turn-to-turn faults with appropriate sensitivity. In addition, the region of the stator turn-to-turn faults can be identified as well.