Modal acoustic emission for composite structures health monitoring: Issues to save computing time and algorithmic implementation

This paper deals with assessing the integrity of composite structures via modal acoustic emission (MAE) technique. It is a continuity of the paper “On the modal acoustic emission of composite structures”, published last year by the authors in the same journal. To improve the reliability level of this technique (as it is the case of the other nondestructive techniques), exploring various innovative processing techniques of the collected data is required. Unfortunately, this task undergoes a huge volume of data, where its management (processing, reuse, etc.) should be achieved as well as possible. Hence, performing an efficient processing of the large data sets that can be generated via MAE, during the composite structures health monitoring, is a challenging topic. This study concerns the development of an algorithmic tool for resolving the problem of memory saturation, which can be encountered when working with such large data sets. It is a first step towards Big Data based solutions, launched recently by the authors' team. A case of study is discussed, showing the robustness of the already implemented algorithmic tool.