A Measurement Points Optimizing and Fault Diagnosing Method for Short-Circuit Fault Between Strands in Stator Bar

This article establishes a multislot stator bar short-circuit fault model to address the issue of short-circuit faults between stator transposition bars in ac generators. In order to extract and recognize the fault features of short circuits between strands, the calculation model based on the end magnetic field is established. Meanwhile, a measurement point optimization method based on the Nyquist sampling theorem is proposed to reduce the difficulty of sensor layout. Based on the characteristics of magnetic density jump, this article proposes a diagnostic method for short-circuit faults between strands, combined with the measurement point optimization results. Finally, the effectiveness of the method proposed in this article is verified by building an experimental platform for stator bar short-circuit faults. The results show that the optimization method of measurement point proposed in this article can greatly reduce the number of sensors while retaining fault characteristics and the fault diagnosis method can achieve rapid diagnosis of short-circuit fault between strands.