Permanent magnet vernier generator under dynamic eccentricity fault: diagnosis and detection

Abstract

Permanent magnet vernier generators (PMVGs) are suitable for meeting power concussion requirements of traffic enforcement cameras and traffic‐driven applications. In this study, the performance of PMVGs at no‐load and full‐load are analysed in healthy machines and machines under different types of mechanical faults including static eccentricity, dynamic eccentricity, inclined rotor, and run‐out faults. Furthermore, an analytical model is developed to estimate the air‐gap permeance and the induced voltages in the healthy generator and generator under the above‐mentioned mechanical faults. Then, the performance of the generator is predicted using a two‐dimensional and three‐dimensional time stepping finite‐element method. Finally, from the stator current spectrum of the PMVG under dynamic eccentricity fault, the amplitude of the side‐band components with a specific frequency pattern is extracted and compared with experimental results.

Analysis and detection of turn‐to‐turn short circuit fault in a permanent magnet Vernier generator based on modified winding function

“…The machine condition in the presence of the TTSC fault is monitored using Equation (51) as a proposed index in the frequency spectrum which is the same as the eccentricity fault index introduced in [31]. The number of rotor and stator poles in the proposed PMVM is 56 and 8, respectively.…”