Title :
Multi-electrode solid electrolyte sensor for monitoring hydrogen and the adaptive identification algorithm of hydrogen concentration
Author :
Chunling Yang ; Zhendong Zhang ; Yan Zhang
Author_Institution :
Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
Abstract :
In the background of energy crisis, new energies are paid close attention to. Hydrogen energy has the advantages of little pollution, high energy density, huge abundance and so on, so it´s more attractive than other new energies. However, due to hydrogen´s easiness to explode, monitoring is rather necessary during its use and storage. This essay designs a Multi-electrode solid electrolyte hydrogen sensor using Pt as its measuring electrode, W as its reference electrode, Ni as its adjusting electrode and the mixture of phosphotungstic acid and glass powder as its electrolyte. Moreover, it comes up with the fitting based on the adaptive algorithm of back-propagation neuron network to the sensor output, which leads to a precise measurement when using this Multi-electrode solid electrolyte hydrogen sensor for hydrogen density.
Keywords :
backpropagation; chemical variables measurement; computerised monitoring; electrochemical electrodes; gas mixtures; gas sensors; glass; hydrogen; hydrogen storage; nickel; platinum; powders; solid electrolytes; tungsten; H; Pt-W-Ni; adaptive identification algorithm; adjusting electrode; backpropagation neuron network; energy crisis; glass powder; hydrogen concentration measurement; hydrogen monitoring; hydrogen storage; measuring electrode; multielectrode solid electrolyte hydrogen sensor; phosphotungstic acid mixture; reference electrode; Electric potential; Electrodes; Equations; Hydrogen; Neurons; Solids; Hydrogen sensor; Multi-electrode; Solid electrolyte; back-propagation neuron network;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566524