On‑line identifying stator winding short‑circuit approach for a submersible motor based on faulty current monitoring

Liguo Wang; Mingliang Feng; Zhenteng Tian; Yang Bai; Jianxin Xu; Zongjie Wang

On‑line identifying stator winding short‑circuit approach for a submersible motor based on faulty current monitoring

Vol. 22, No. 11, pp. 1872-1884, Nov. 2022

10.1007/s43236-022-00495-x

On-line estimation

Detection parameter

Inter-turn short-circuit fault

Submersible motor

Abstract

To monitor, diagnose, and suppress the inter-turn short-circuit faults (ITSCFs) of a submersible motor, an approach for the on-line identifi cation of its winding faults has been proposed based on monitoring the stator current. First, an ITSCF model with the global leakage referred to the stator is given. With this model, the detection parameter, which is equal to the ratio of the turns of the fault windings to the total turns of the windings in the healthy phase, can be derived. Second, a faulty model described by the fourth order state-space equation of the motor with a winding fault has been given. Based on sampled stator voltage and stator current, the detection parameter has been solved and used to estimate the location and the turns of interturn short-circuit windings of the motor in real time. The accuracy and the robustness of the proposed approach has been illustrated with a 1.5 kW motor that is fed by a 10 kW inverter. Experiment shows that the identifi cation accuracy in terms of the number of the ITSCF windings of the motor stator is less than 3. It can give a reference for the on-line diagnose the ITSCFs of the stator windings of a submersible motor that works in 2 km deep well.

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Cite this article

[IEEE Style]

L. Wang, M. Feng, Z. Tian, Y. Bai, J. Xu, Z. Wang, "On‑line identifying stator winding short‑circuit approach for a submersible motor based on faulty current monitoring," Journal of Power Electronics, vol. 22, no. 11, pp. 1872-1884, 2022. DOI: 10.1007/s43236-022-00495-x.

[ACM Style]

Liguo Wang, Mingliang Feng, Zhenteng Tian, Yang Bai, Jianxin Xu, and Zongjie Wang. 2022. On‑line identifying stator winding short‑circuit approach for a submersible motor based on faulty current monitoring. Journal of Power Electronics, 22, 11, (2022), 1872-1884. DOI: 10.1007/s43236-022-00495-x.