TY - JOUR A2 - Beltran-Carbajal, Francisco AU - Zhang, Chao AU - He, Chuang-Jin AU - Li, Shuai AU - He, Yu-Ling AU - Wang, Xiao-Long AU - Liu, Xiang-Yu AU - Cheng, Lun PY - 2021 DA - 2021/06/01 TI - A Hybrid Method to Diagnose 3D Rotor Eccentricity Faults in Synchronous Generators Based on ALIF_PE and KFCM SP - 5513881 VL - 2021 AB - This paper proposed a new hybrid diagnosis method for the generator’s 3D static eccentricity faults which include the axial eccentricity, the radial eccentricity, and the mixed eccentricity composed of the former two. Firstly, adaptive local iterative filtering (ALIF) method was used to decompose the vibration signals of the generator under eccentricity faults. Then, in order to figure out the intrinsic mode function (IMF) components with the upmost feature information, the correlation coefficient was calculated. Finally, the components’ permutation entropy (PE) is extracted to construct the eigenvector matrix which can be used to input the kernel fuzzy C-means (KFCM) algorithm to obtain the result of clustering. The result indicates that the classification coefficient based on ALIF and KFCM behaves closer to 1, while the average fuzzy entropy (FE) is closer to 0, showing that this method is able to detect different eccentricity faults more accurately. SN - 1024-123X UR - https://doi.org/10.1155/2021/5513881 DO - 10.1155/2021/5513881 JF - Mathematical Problems in Engineering PB - Hindawi KW - ER -