涡轮泵实时故障检测的时间编码信号处理方法研究
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国家自然科学基金资助项目(50675219);全国优秀博士论文基金资助项目(200434)


A Research on Time Encoded Signal Processing for Real-timeFault Detection of Turbopump
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    摘要:

    为了提高液体火箭发动机涡轮泵实时故障检测的有效性,通过取消对胞元长度限制和提出新的编码计算方法,提出了一种改进的时间编码信号处理方法,并将其应用于涡轮泵振动信号的实时特征提取。通过正常和异常涡轮泵历史试车稳态过程的振动数据对该方法的稳定性和故障检测有效性进行了验证,结果表明,基于时间序列编码的信号处理方法可以有效提取故障特征,可用于涡轮泵故障的实时检测。

    Abstract:

    To increase the validity of real-time fault detection of turbopump in Liquid-propellant rocket engine, a new signal processing method called modified Time Encoded Signal Processing and Recognition (TESPR) was presented to extract the features of vibration signal in real time. To extend the application of TESPR, the constraint about the duration of signal waveform components was abolished and a new encoding method was advanced. By the test of vibration data from normal as well as abnormal turbopump, the stability of this method and its affectivity for fault detection were verified. It shows that this signal processing method can be applied to turbopump fault detection.

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秦国军,马媛媛,胡茑庆.涡轮泵实时故障检测的时间编码信号处理方法研究[J].国防科技大学学报,2008,30(4):103-106.
QIN Guojun, MA Yuanyuan, HU Niaoqing. A Research on Time Encoded Signal Processing for Real-timeFault Detection of Turbopump[J]. Journal of National University of Defense Technology,2008,30(4):103-106.

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  • 收稿日期:2008-01-04
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  • 在线发布日期: 2012-12-07
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