Self-Optimized Neural Network Burst Pressure Prediction in Composite Overwrapped Pressure Vessels

The intent of this paper is to improve upon current methods of predicting the burst pressure of composite overwrapped pressure vessels using acoustic emission data. Several different filtering methods were used in combination with a self-optimizing neural network, which minimizes the time and technical knowledge required to use a neural network.

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