Fault Diagnosis of HTS-SLIM Based on 3D Finite Element Method and Hilbert-Huang Transform

23Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The Linear Induction Motors (LIMs) are a novel structure of industrial motors, which have appeared in recent years. There are various models of optimal LIMs that help better performance. However, no research could be found about the behavior of these motors under the fault conditions. In this paper, a High-Temperature Superconducting Single-sided LIM (HTS-SLIM), with flat-solid secondary sheet is considered. Besides, a comprehensive review of novel and robustness fault diagnosis methods in electrical machines is carried out. To satisfy the paper aims, two mechanical and electrical failures, in forms of broken conductor sheet and short-circuit of coil are considered, respectively, and the dynamic model of the studied motor under short-circuit fault is proposed. The motor is modeled with 3D Finite Element Method (FEM), in order to consider the 3D effects of linear motors. Finally, the electromagnetic and mechanical behaviors of the considered machine are rendered under various conditions. The variation of various parameters are studied and their increament or decreament under faulty states are analyzed. In the next step, the Hilbert-Huang Transform (HHT) is employed to detect the features of the mentioned faults. The results and analysis show that the thrust and speed of motor have decreased under short circuit faults, and they have increased suddenly, when the primary cross over the broken secondary sheet about 600 % and 43 %, respectively. Besides, the flux density of all components under short circuit is reduced, while it increased under broken sheet fault and when these faults occur simultaneously.

Cite

CITATION STYLE

APA

Ahmadpour, A., Dejamkhooy, A., & Shayeghi, H. (2022). Fault Diagnosis of HTS-SLIM Based on 3D Finite Element Method and Hilbert-Huang Transform. IEEE Access, 10, 35736–35749. https://doi.org/10.1109/ACCESS.2022.3159693

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free