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Zhenjiang, China

Luo Z.-G.,Jiansu University | Li X.-D.,Jiansu University | Zhao J.-L.,Jiansu University | Zhang J.-J.,Jiansu University
Zhendong yu Chongji/Journal of Vibration and Shock | Year: 2013

Mahalanobis distance can be used to identify effectively initial cracks with acoustic emission signals. Here, the acoustic emission signals of a drawing bucket were acquired under different lubricating conditions. Then, MATLAB software was adopted to do the local field wave decomposition of the collected acoustic emission signals to obtain adaptive intrinsic mode functions (IMFs). The acoustic energy of each IMF was extracted to form the characteristic parameters of the collected acoustic emission signals. Mahalanobis distances for 3 statuses of no crack, crack and obvious crack were calculated as the standard values, the other groups of Mahalanobis distances were compared with the standard values to realize the crack identification of a drawing part and to reflect the friction behavior of a sheet metal in a drawing process.

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