Neural networks applied to pressure sensor monitoring

A Regulatory Commission Requisition compels the NPPs to a periodic inspection in order to know the pressure sensors response time. During the recharge period, a pressure signal is applied to the sensor, and the response time to this signal is observed. This method is certainly accurate, of course, but it is also very cumbersome, little versatile and expensive. So alternatives have arised, in the recent years, based in the Noise Analysis Technique. These alternatives provide satisfactory results, not only from the safety point of view but also from the economics, with a really smaller effort. In this work Neural Networks are going to be used to obtain the pressure sensors response time. The purpose is to connect the noise correlation function to this time via a Neural Network. It will be plausible that an easy architecture is able to “learn” this problem, offering satisfactory results.