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- W4361763618 abstract "Aiming at the low reliability of the existing degradation stage division method of AC contactor contact system, a degradation stage division method of AC contactor contact system based on FCM clustering was proposed. Firstly, the vibration signals of the opening and closing stages of the contact system throughout the life cycle are obtained through the full life test of the AC contactor, and the time domain and frequency domain characteristics reflecting the degradation state of the contacts are extracted from it; Secondly, the Spearman rank correlation coefficient (SRCC) and principal component analysis method are used to select feature and reduce feature dimensionality, to construct performance degradation indicators; Third, the Unsupervised Learning (UL) C-means fuzzy clustering algorithm was introduced as a theoretical basis for dividing the contact system into 2 to 5 degradation stages. Finally, the clustering effect was evaluated internally by profile coefficient, CH score and DBI index. The results show that it is reasonable to divide the contact system into three degradation stages. The method proposed in this institute has strong reliability and high classification accuracy, which can effectively realize the division of the degradation stage of ac contactor contact system." @default.
- W4361763618 created "2023-04-04" @default.
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- W4361763618 date "2023-01-01" @default.
- W4361763618 modified "2023-09-28" @default.
- W4361763618 title "A Method for Dividing the Degradation Stage of an AC Contactor Contact System" @default.
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- W4361763618 doi "https://doi.org/10.1007/978-981-99-0357-3_119" @default.
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