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作 者:欧阳涛[1] 段发阶[1] 李孟麟[1] 孔祥洪[1]
机构地区:[1]天津大学精密测试技术及仪器国家重点实验室,天津300072
出 处:《天津大学学报》2011年第8期742-746,共5页Journal of Tianjin University(Science and Technology)
基 金:国家自然科学基金资助项目(50375110);教育部新世纪优秀人才支持计划资助项目(NECT)
摘 要:欠采样极度减少了同步振动信息,为实现恒速下辨识旋转叶片同步振动参数,分析了基于叶尖定时测振原理的同步振动欠采样模型.设计了一种利用多支任意分布的叶尖定时传感器辨识叶片振动参数的方法,从理论上推导了振动倍频遍历算法.将该方法在某型号航空设备上进行模拟验证实验,实验结果表明,该方法可以准确实时地辨识出振动倍频、振动频率、振幅等参数,并还原出叶片同步振动信号,恢复精度约2,μm.成功克服了恒速下叶片同步振动欠采样的辨识难度,进一步完善了叶尖定时测振系统.Synchronous vibration information is decreased extremely in sub-Nyquist-sampling. In order to identify rotating blade synchronous vibration parameters at constant speed, the synchronous vibration sub-Nyquist-sampled model based on blade tip timing (BTT) was analyzed. A method for identifying blade vibration was designed, by which good results can be identified using multi BTT probes which were distributed arbitrarily. The arithmetic by the method of engine order traversing was theoretically deduced. The method was applied to a certain model of aerial equipment to do simulation experiment. The experimental results indicate that vibration parameters, such as engine order, vibration frequency, amplitude, can be exactly identified by the method. And blade synchronous vibration signals can be reconstructed. The precision of signal reconstruction is about 2 ~tm. The difficulty in identifying subNyquist-sampling information at constant speed is overcome, and the BTT system is then greatly improved.
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