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The friction welding supersonic C scanned pictures will introduce the noise in process of gatherring and conversion, and the disturbance of the noise to the image effects image's quality, which brought the enormous difficulties for image characteristic information extraction and analysis. Therefore, this article will propose a denoising analysis method, which obtains the scanned picture to the experiment...
Because having many advantages, friction welding was applied widely in high-tech fields and industry section. But the existence of defeat will decrease the impact tenacity of joint evidently. A set of defect recognized system based on the compensatory fuzzy neural network of using wavelet and with fast algorithm. The dasiaenergy-defectpsila method to extract eigenvalue was used firstly, then defect...
Detecting the super-alloy friction welding specimens of GH4169 by using the UltraPAC system, aiming at the characteristic of defects, the method of analyzing and extracting the defect eigenvalue by using wavelet packet analysis and pattern recognition by making use of the wavelet neural network is discussed. This method can realize to extract the interrelated information which can reflect defect characteristic...
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