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非完备先验知识下的滑动轴承摩擦状态识别

张峻宁 张培林 李兵 吴定海 杨玉栋

张峻宁, 张培林, 李兵, 吴定海, 杨玉栋. 非完备先验知识下的滑动轴承摩擦状态识别[J]. 航空动力学报, 2017, 32(7): 1704-1711. doi: 10.13224/j.cnki.jasp.2017.07.022
引用本文: 张峻宁, 张培林, 李兵, 吴定海, 杨玉栋. 非完备先验知识下的滑动轴承摩擦状态识别[J]. 航空动力学报, 2017, 32(7): 1704-1711. doi: 10.13224/j.cnki.jasp.2017.07.022
Plain bearing friction state recognition without complete prior knowledge[J]. Journal of Aerospace Power, 2017, 32(7): 1704-1711. doi: 10.13224/j.cnki.jasp.2017.07.022
Citation: Plain bearing friction state recognition without complete prior knowledge[J]. Journal of Aerospace Power, 2017, 32(7): 1704-1711. doi: 10.13224/j.cnki.jasp.2017.07.022

非完备先验知识下的滑动轴承摩擦状态识别

doi: 10.13224/j.cnki.jasp.2017.07.022
基金项目: 国家自然科学基金(51205405,51305454)

Plain bearing friction state recognition without complete prior knowledge

  • 摘要: 针对监测系统通常无法全部获取轴承摩擦退化状态的先验知识,无法建立全摩擦状态的识别模型,从状态间的相似性出发,提出一种无先验知识下的基于灰色B型绝对关联度(AGRDB)和稀疏编码的滑动轴承状态识别方法。针对稀疏表示不具有监督性的缺陷,在稀疏编码的目标函数中引入AGRDB算法,训练类间距离最大、类内距离最小的正常润滑和严重摩擦的编码;在相同字典下建立具有一致判别性的稀疏表示模型,通过比较当前状态与正常润滑、严重摩擦的稀疏编码与重构误差,进一步识别当前轴承的状态,仿真信号和柴油机轴承实验的结果表明:所提方法能够在较少先验知识下识别出滑动轴承的早期摩擦状态(100~216min)和严重摩擦状态(216~384min),且算法简单,适合较少样本下的滑动轴承摩擦故障在线监测。

     

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出版历程
  • 收稿日期:  2016-06-01
  • 刊出日期:  2017-07-28

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