an effective hilbert–huang transform-based approach for partial demagnetization fault diagnosis in double-rotor double-sided stator structure axial flux permanent magnet generator under various load and speed conditions

A double-sided axial flux permanent magnet (pm) generator which can be directly driven by small-scale low-speed turbines is highly suitable for use in renewable energy generation systems. partial demagnetization is a failure occurring under the high thermal operation of a permanent magnet machine. this paper focuses on partial demagnetization fault diagnosis in a double-rotor double-sided axial flux pm generator using stator currents analysis under time-varying conditions. one of the most important problems in any fault diagnosis approach is the investigation of load and speed variation on the proposed indices. to overcome the aforementioned problems, this paper adopts a novelty detection algorithm based on the hilbert–huang transform for fault diagnosis. this approach relies on two steps: estimating the intrinsic mode functions (imfs) by the empirical mode decomposition (emd) and computing the instantaneous amplitude (ia) and instantaneous frequency (if) of imfs using the hilbert transform. the more significant imfs are determined using the hilbert spectrum, which is applied for accurate fault diagnosis. the partial demagnetization severity can be evaluated based on the imf’s energy value. the theoretical basis of the proposed method is presented. the effectiveness of the proposed method is verified by a series of simulation and experimental tests under different conditions.