Stator ITSC Fault Diagnosis for EMU Induction Traction Motor Based on Goertzel Algorithm and Random Forest

The stator winding insulation system is the most critical and weakest part of EMU’s (electric multiple unit’s) traction motor. effective diagnosis for ITSC (inter-turn short-circuit) faults can prevent a fault from expanding into phase-to-phase or ground short-circuits. TCU (traction control unit) controls inverter to output SPWM (sine pulse width modulation) excitation voltage when motor at standstill. Three diagnostic conditions are based on different IGBTs’ logics. Goertzel algorithm used calculate fundamental current amplitude difference Δi phase angle Δθ equivalent parallel windings under three conditions. six parameters as features establish an model random forest. proposed method was validated using simulation experimental platform EMU motors. results indicate that change obviously with increase in extent if occurs windings. accuracy forest detection location, both train test samples, 100%.