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- W1911359123 abstract "There is need to develop fault detection techniques for reliable real-time diagnosis of axial-flux permanent magnet machines as they are now widely used in a variety of applications. Thus this paper presents detection techniques for interturn short circuit in an axial-flux permanent magnet machine based on a combination of torque and current monitoring using finite element analysis and experimental validation. Using fast Fourier transform, fault features are extracted from the line current in steady-state. Furthermore, these features are tracked during startup transient through a decomposition of the analytical signal of the line current using the wavelet transform. Results obtained overcome the transient detection of interturn faults using current signature analysis." @default.
- W1911359123 created "2016-06-24" @default.
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- W1911359123 date "2015-09-01" @default.
- W1911359123 modified "2023-09-26" @default.
- W1911359123 title "The detection of interturn short circuit faults in axial-flux permanent magnet machine with concentrated windings" @default.
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- W1911359123 doi "https://doi.org/10.1109/ecce.2015.7309915" @default.
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