摘要
波形数字声发射技术的发展给声发射源的特性识别带来了可能。噪声的影响和声发射信号传播过程的复杂性给声源的识别带来一定的困难。为了解决干扰情况下声发射源的定性问题 ,提出了在决策层上的多传感器数据融合的识别方法。利用定位传感器组中各个传感器得到的数据 ,同时考虑在同一个定位组中各个传感器所得数据的置信度不同 ,来对声发射源性质进行识别。实验结果证明 ,数据融合后声发射源特性识别的可靠性明显大于单个传感器 。
The development of digital and waveform acoustic emission (AE) technology made the recognition of AE source possible. Because of the noise and the complexity of AE signal transmission characteristics, the recognition of AE source was very difficult. In order to resolve the problem, the method of multisensor data fusion on decision level was presented. Using the data from each sensor in a location set and considering the confidence value for each sensor, AE source characteristics were acquired. Experimental results showed that multisensor data fusion method was more reliable and effective.
出处
《无损检测》
2003年第4期171-175,共5页
Nondestructive Testing
基金
北京市自然科学基金资助项目 ( 3 0 110 0 1)
