Simulation of the Technical Condition of the Electrolyzer Using Neural Networks

Measuring parameters of an operating electrolysis cell is a time-consuming task. The measurement accuracy remains quite low due to the presence of a huge number of external factors. To eliminate this shortcoming, the authors of the paper propose to place a larger number of wireless sensors on the cell, the data from which comes into the neural network. Authors created the network for further analysis in MatLab. The configured system makes it possible to monitor and predict the technical state of the cell.