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In this paper, a study of the performance and experimental results for a low-speed linear induction motor (LIM) with toroidal winding is presented. The main idea behind the proposed winding is to provide better performance and efficiency in space-constrained applications where a LIM with much higher primary length in comparison with the primary width is required. The LIM with toroidal winding in this case enjoys the advantage of short end-connection length, which can provide more superior performance than a distributed winding linear induction motor (DWLIM). Also, as the motor is designed to operate at low speed, the output power, and thus efficiency, would be low, and then the performance of such machines cannot be evaluated in terms of output power or efficiency. However, an improvement in performance, and thus efficiency, may be achieved when the low-speed motor is fed from a low-frequency supply. This paper mainly focuses on the design optimization, prototyping, and performance evaluation of a low-speed LIM with toroidal winding, and also provides a detailed comparison between the LIM with toroidal winding and a DWLIM.

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The authors analyse no-load and full-load performance of a permanent magnet transverse flux generators (PMTFGs) in fully aligned condition as well as under different types of mechanical faults including static eccentricity (SE), dynamic eccentricity (DE), inclined rotor (IR) and run-out (RO) faults. An analytical model is developed to calculate the airgap permeance. This permeance is used to estimate the flux density and backelectromotive force in the healthy and faulty machine. Performance of the machine is predicted using the proposed analytical model and verified by comparing it with the results obtained using three-dimensional time stepping finite element method. Finally, the spectra of stator current in the PMTFG under SE, DE, IR and OR faults are determined through which the amplitude of side-band components with a specific frequency pattern is extracted. It can detect the eccentricity fault precisely, recognise its type and determines its severity.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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