• CN:11-2187/TH
  • ISSN:0577-6686

›› 2010, Vol. 46 ›› Issue (9): 66-72.

• 论文 • 上一篇    下一篇

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基于能量衰减模型的转子碰摩声发射源次梯度投影定位方法

邓艾东;包永强;赵力   

  1. 东南大学火电机组振动国家工程研究中心;南京工程学院通信工程学院;东南大学信息科学与工程学院
  • 发布日期:2010-05-05

Positioning of Acoustic Emission Source by Using Sub-gradient Projection Based on Energy Attenuation Model

DENG Aidong;BAO Yongqiang;ZHAO Li   

  1. National Engineering Research Center of Turbo-generator Vibration, Southeast University School of Information Engineering, Nanjing Institute of Technology School of Information Science and Engineering, Southeast University
  • Published:2010-05-05

摘要: 由于旋转机械结构的复杂性,转子碰摩声发射信号在复杂体结构的传播过程中,多模态波传播速度不同且信号畸变严重,传统的时差定位法难以得到准确的碰摩源。根据声发射信号传播时能量与声源距离按反比关系衰减的特点,建立信号能量衰减模型,将目标声源位置限定于圆心和半径都为传感器对的能量比函数的超球上,并将定位问题转化为估计问题,采用自适应次梯度投影系统估计算法逼近声源位置。该方法基于能量比而非能量,因此即使在声源能量显著变化时其定位精度也不会受到显著影响。当安装多对传感器时,可以决定更多的超球,因此该方法还适用于多只传感器组成的阵列定位。在转子试验台上模拟碰摩故障,采用该算法进行碰摩源定位。试验结果表明,该算法具有比时延估计算法更高的定位精度,且具有良好的收敛性能和较低的计算复杂度。

关键词: 次梯度, 定位, 能量衰减, 声发射, 投影, 多目标优化, 耐撞性, 泡沫填充管, 三点弯

Abstract: Because of containing several model waveforms, the source rub-impact acoustic emission(AE) signal transmitting in complicated body will cause waveform distortion for varying transmission speed of each model and dispersion effect. It is difficult to achieve exact source location by traditional time difference location. An energy attenuation model is established on the basis of the characteristic of approximately inverse ratio between propagation energy and source distance, the location of the AE source is limited in a hypersphere in which the circle centre and radius are all the energy ratio functions of a sensors pair, and uses adaptive sub-gradient projection to approximate to the source location. As the method is based on energy ratio instead of energy, the location accuracy will not be significantly affected even if the energy of AE source has a significant change. When multiple sensors pairs are installed more hyperspheres can be decided, so this method is also applicable to positioning array composed of multiple sensors. The experiment results show that this algorithms has higher location accuracy than Time Delay Estimation algorithm, it also has good convergence and lower computation complexity.

Key words: Acoustic emission, Energy attenuation, Location, Projection, Sub-gradient

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