Asymmetric air gap fault detection in linear permanent magnet Vernier machines

Abstract

Purpose

The aim of this paper is to introduce an accurate asymmetric fault index for the diagnosis of the faulty linear permanent magnet Vernier machine (LPMVM).

Design/methodology/approach

Three-dimensional finite element method is applied to model the LPMVM. The geometrical and physical properties of the machine, the effect of stator and translator teeth, magnetic saturation of core and nonuniform air gap due to asymmetric fault are taken into account in the simulation. The air gap asymmetric fault is proposed. This analytical method estimates the air gap flux density of an LPMVM.

Findings

This paper presents an analytical method to predict the performance of a healthy and faulty LPMVM. The introduced index is based on the frequency patterns of the stator current. Besides, the robustness of the index in different loads and fault severity is addressed.

Originality/value

Introducing index for air gap asymmetry fault diagnosis of LPMVM.

Citation

Arianborna, M., Faiz, J., Ghods, M. and Erfani-Nik, A. (2023), "Asymmetric air gap fault detection in linear permanent magnet Vernier machines", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 42 No. 5, pp. 1175-1186. https://doi.org/10.1108/COMPEL-12-2022-0443