电气工程学报 ›› 2017, Vol. 12 ›› Issue (1): 22-27.doi: 10.11985/2017.01.004

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航天继电器多参数贮存寿命加速退化预测方法研究

李文华,沈培根,马思宁   

  1. 河北工业大学电气工程学院 天津 300130
  • 收稿日期:2016-05-03 出版日期:2017-01-25 发布日期:2019-11-26
  • 作者简介:李文华 男 1973年生,教授,研究方向为电器可靠性及检测技术、新能源发电和并网技术。|沈培根 男 1990年生,硕士研究生,研究方向为电器可靠性及检测技术。

Study on Multi-Parameters Storage Life Prediction Method for Aerospace Relay in Accelerated Degradation

Li Wenhua,Shen Peigen,Ma Sining   

  1. Hebei University of Technology Tianjin 300130 China
  • Received:2016-05-03 Online:2017-01-25 Published:2019-11-26

摘要:

航天继电器在国防、航天工业等重要领域使用范围十分广泛,因此,为了提高航天继电器的可靠性,研究其贮存寿命具有十分重要的意义。目前,基于性能退化数据的大多文献局限于研究单个特征参数的情况,然而许多产品具有多个性能退化特征量。针对航天继电器具有多个性能参数的特点,本文提出了退化距离分析法,并在此基础上引入主元分析法(PCA),融合了多个特征参数,给出了参数权重因子求解方法。文中选择了航天继电器的接触电阻Rj、吸合时间Tx和释放电压Us这三个参数,通过该方法实现了贮存寿命预测,并选取实测数据对该方法进行了验证。

关键词: 寿命预测, 退化距离, 多特征参数, 主元分析

Abstract:

Aerospace relay, is widely used in the field of national defense, aerospace industry, and others. Therefore, in order to improve the reliability of the aerospace relay, it is of great significance to study its storage life. At present, researches based on performance degradation data are mostly confined to the single characteristic parameters. However, many products have multiple performance degradation parameters. On account of the multiple performance parameters of aerospace relay, the degradation distance analysis method is proposed in this paper, principal component analysis (PCA) is also introduced into this analysis method to fuse multiple characteristic parameters, and weighting factors of parameters are given. In this paper, the aerospace relay contact resistance Rj, pick-up time Tx, release voltage Us are selected as life prediction parameters, and the relay storage life can be predicted with the help of the above method , which is also verified to be accurate by other data acquired in the experiment.

Key words: Life prediction, degradation distance, multiple characteristic parameters, principal component analysis

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