WEI Shurong, ZHANG Yiming, FU Yang, et al. Early Fault Identification of Rotor Interturn Short Circuit in Offshore Doubly-fed Induction Motor Based on Magnetic Field Oscillation[J]. 2026, 46(18): 6949-6960.
DOI:
WEI Shurong, ZHANG Yiming, FU Yang, et al. Early Fault Identification of Rotor Interturn Short Circuit in Offshore Doubly-fed Induction Motor Based on Magnetic Field Oscillation[J]. 2026, 46(18): 6949-6960.DOI: 10.13334/j.0258-8013.pcsee.251385.
Early Fault Identification of Rotor Interturn Short Circuit in Offshore Doubly-fed Induction Motor Based on Magnetic Field Oscillation
Constrained by weak fault features on the rotor side
motor parameter mismatch after faults
and high-frequency harmonic coupling
inter-turn short - circuit faults in the rotor windings of offshore doubly fed induction generators(DFIGs) are hard to detect early. Existing methods have issues like low sensitivity to fault features and high misjudgment rates. This paper proposes an early fault identification method for rotor winding inter-turn short circuits of offshore DFIGs based on improved magnetic field oscillation technology. First
it reveals magnetic field changes before and after motor faults
clarifies the causes of magnetic field oscillation induced by faults
and proposes an improved magnetic field oscillation characteristic suitable for inter-turn short circuits in rotor windings. Then
this paper establishes a current residual model of the doubly fed motor in the fault state to expose the essence of the improved characteristic
and quantitative evaluation indexes for fault severity and fault phase location are proposed. Finally
simulations and experiments verify that the new magnetic field oscillation characteristics are robust to two common offshore operating conditions: slip rate variation and parameter mismatch. Analysis shows that the improved magnetic field oscillation characteristic is highly sensitive and reliable for early fault identification of DFIG rotor windings
solving the problem of extracting weak fault features of rotor inter-turn short circuits under strong interference and providing technical support for high-quality offshore wind power development.
Early Stage Inter-turn Faults Detection Technique for the Rotor Windings of Offshore Wind DFIGs Based on the Differential Value of Two-side Linkage’s Observation
Temporal Super-resolution Offshore Wind Energy Resources Assessment Method Based on Flow Matching Model
Analytical Calculation of Symmetrical Fault Currents in Offshore Wind Power Flexible Low-frequency Transmission Systems Considering Converter Vector Control
The Fault Identification Method for PMSG Driven by the Integration of Multi-dimensional Transformer Algorithm and Electromagnetic Transient Modeling
Inter-turn Faults diagnosis on Stator Windings of Offshore Wind DFIGs Considering Current Estimated Difference
Related Author
WEI Shurong
REN Zixu
FU Yang
HU Hao
ZHANG Kaihua
MEI Shengwei
CHEN Laijun
SONG Yunzhen
Related Institution
Shanghai Donghai Wind Power Ltd.
State Grid East Inner Mongolia Electric Power Supply Co.Ltd
Electric Power Engineering,Shanghai University of Electric Power