Pruebas de estanqueidad en envases de tereftalato de polietileno basado en máquina de soporte vectorial/Leak tests on polyethylene terephthalate containers based on support vector machine

In this paper we present the results of implementing an algorithm based on Support Vector Machine (SVM) on the National Instruments platform Compaq Rio, abbreviated cRio for the detection of Polyethylene terephthalate (PET) containers leakage. To accomplish this, the acquisition and processing the differential pressure signal is performed and then using a decision model to determine whether the package leaks or not. There are many tools for digital signal processing, however in the SVM classification applications have proven to be a very good alternative. The SVM requires a training process, performed based on signals which are known class to which they belong. After this training, a classification is performed in a new bottle. The final algorithm is implemented on the cRio National Instruments system for online application.