Pattern recognition of fatigue damage acoustic emission signal

Acoustic emission(AE) of material is a common phenomenon; In fact, it has relation with the material states. In this paper, the acoustic emission test method is used and the characteristics of different phases of aluminum alloy cracks are analyzed. Artificial neural network(ANN) is used to recognize the pattern of AE of fatigue cracks. Practical test shows the above method could test the cracks that common method could not test. The result of pattern recognition is rather accurate, and is of practical engineering significance.