Application Research on Artificial Neural Networks for Processing Noise Signal

Noise detecting and elimination is important for data acquisition of impact drilling stress wave. ANN (Artificial Neural Network) is provided with stronger fault-tolerance and redundancy. And ANN takes on good robustness for data errors. Therefore, a new method, ANN methods, is put forward on processing ldquoburrrdquo phenomena (noise signal) for data acquisition of impact drilling stress wave. The method detects and eliminates the noise based on local pulse noise by means of ANN. Experimental analysis and research is carried through, and the result is better for noise detecting and elimination for data acquisition of impact drilling stress wave. Furthermore, artificial factor is farthest avoided for data processing.