Abstract

Winding short circuit faults are recognized as one of most frequent electric machine failure modes. Effective on-line diagnosis of these is vital, but remains a challenging task, in particular, at incipient fault stage. This paper reports a novel technique for on-line detection of incipient stator short circuit faults in random wound electrical machines based on in situ monitoring of windings thermal signature using electrically nonconductive and electromagnetic interference immune fiber-Bragg grating (FBG) temperature sensors. The presented method employs distributed thermal monitoring, based on the FBG multiplexing feature, in a variety of points within windings, in proximity to thermal hot spots of interest that arise from fault. The ability of the proposed method to enable fault diagnosis through identification of fault-induced localized thermal excitation is validated in steady-state and transient operating conditions on a purpose built inverter driven induction machine test facility. The results demonstrate the capability of unambiguous detection of inter-turn faults, including a single shorted turn. Furthermore, the winding thermal and electrical characteristics at the onset of inter-turn fault are examined and correlated, enabling better understanding of fault diagnostic requirements.

Highlights

  • W INDING short circuit faults are one of most common occurring in electrical machines, especially in those utilizing random wound winding configurations

  • This paper reports a proof of concept study of a new technique for on-line detection of inter-turn short circuit fault (ITSCF) in random wound electrical machines based on winding in situ thermal signature monitoring using coil embedded fiber-Bragg grating (FBG) temperature sensors

  • An experimental study undertaken to evaluate the application of the proposed in situ thermal monitoring scheme for incipient ITSCF diagnosis on the inverted driven induction machines (IMs) test rig is reported

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Summary

INTRODUCTION

W INDING short circuit faults are one of most common occurring in electrical machines, especially in those utilizing random wound winding configurations. This paper reports a proof of concept study of a new technique for on-line detection of ITSCFs in random wound electrical machines based on winding in situ thermal signature monitoring using coil embedded fiber-Bragg grating (FBG) temperature sensors. A series of experimental tests were carried out to examine the potential of using targeted, in situ, FBG enabled thermal monitoring for diagnosis of ITSCF with a particular focus on the critical, incipient fault stages. To this end, a number of FBG temperature sensors were embedded in points of interest of an inverter driven test IM stator windings. The electrical and thermal characteristics of stator windings during an inter-turn fault event are examined and correlated and it was shown that clearer understanding of these can significantly contribute to fault diagnostic reliability

ANALYSIS OF ITSCF ELECTROTHERMAL FEATURES
Electrical Characteristics of Inter-Turn Fault
Thermal Characteristics of Inter-Turn Fault
EXPERIMENTAL RESULTS AND DISCUSSION
Fault Thermal Signature in Steady-State Conditions
Fault Thermal Signature in Transient Conditions
Fault Severity Trending
CONCLUSION
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