Stator End-Winding Thermal and Magnetic Sensor Arrays for Online Stator Inter-Turn Fault Detection

In this paper, two novel stator inter-turn fault sensing schemes, based on infrared (IR) thermopile sensor array (IRSA) and Hall-effect sensor array (HESA) are proposed. These circular sensing arrays are mounted along the inner wall of the stator's casing facing the end-winding region. This ena...

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Bibliographic Details
Published in:IEEE sensors journal 2021-02, Vol.21 (4), p.5312-5321
Main Authors: Kumar, Padmanabhan Sampath, Xie, Lihua, Halick, Mohamed Sathik Mohamed, Vaiyapuri, Viswanathan
Format: Article
Language:English
Subjects:
Algorithms
Condition monitoring
Diagnostic systems
Fault detection
Hall effect
hall effect sensors
induction motor
Induction motors
infra-red sensors
Infrared detectors
inter-turn winding fault
Magnetic flux
Magnetic sensors
Monitoring
sensor array
Sensor arrays
Sensors
Short circuits
Stator windings
Stators
Temperature measurement
Temperature sensors
Thermopiles
Winding
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Summary:In this paper, two novel stator inter-turn fault sensing schemes, based on infrared (IR) thermopile sensor array (IRSA) and Hall-effect sensor array (HESA) are proposed. These circular sensing arrays are mounted along the inner wall of the stator's casing facing the end-winding region. This enables a direct measurement of temperature and magnetic flux distribution along the end-winding region in a non-contact way. Thus, the deviation in thermal and magnetic symmetry introduced by an inter-turn short circuit fault can be readily assessed. The proposed sensing schemes provides an intuitive and straight forward approach to inter-turn fault monitoring compared to the conventional methods, which depend on detecting fault induced secondary effects on external signals (motor currents, casing vibration, and temperature). The practicality and the diagnostic ability of the end-winding sensor array approaches in detecting the stator inter-turn faults is demonstrated using a 1.5 kW induction motor test rig. Compared to IRSA, HESA is found to be more versatile and with better early fault detection capability. Hence, an embedded online monitoring algorithm based on HESA is developed and demonstrated using the test rig.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2020.3029041