Open AccessNew technology for America`s electric power industry. Electrocatalytic gas sensor employing cermet materials, AI analysis, and control methods
Publication year - 1995
Language(s) - English
Resource type - Reports
DOI - 10.2172/29415
Subject(s) - analyte , calibration , detector , signal processing , computer science , component (thermodynamics) , signal (programming language) , sampling (signal processing) , process engineering , artificial neural network , cyclic voltammetry , false alarm , artificial intelligence , biological system , pattern recognition (psychology) , electronic engineering , electrode , engineering , digital signal processing , computer hardware , chemistry , telecommunications , chromatography , mathematics , physics , statistics , biology , electrochemistry , thermodynamics , programming language
Argonne National Laboratory`s cermat sensors use cyclic voltammetry techniques with solid electrolyte sensors to generate unique electrical signatures of gases or gas mixtures `on demand`. Intelligent (neural network) signal-processing algorithms match these signals to a gas library