山东大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (5): 22-29.doi: 10.6040/j.issn.1672-3961.0.2017.211
周志杰,赵福均,胡昌华,王力,冯志超,刘涛源
ZHOU Zhijie, ZHAO Fujun, HU Changhua, WANG Li, FENG Zhichao, LIU Taoyuan
摘要: 针对航天继电器失效比例高、故障预测存在强不确定性等问题,以JRC-7M航天继电器为研究对象,选取吸合时间和超程时间为故障特征变量,提出一种基于证据推理(evidential reasoning, ER)融合多故障特征信息的航天继电器故障预测方法。该方法利用基于三阶Volterra滤波器的在线预测模型预测故障特征未来信息,采用变异系数法自适应求取融合权重,建立基于证据推理的融合框架融合多故障特征信息得到继电器的故障状态,并通过融合其历史、当前和未来状态信息得到继电器综合故障预测结果。利用STS2104A电磁继电器测试系统测试并采集数据,验证了所提方法的有效性。
中图分类号:
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