Neural Networks for Signal Conditioning in Semiconductor Gas Sensor Arrays
نویسنده
چکیده
Semiconductor gas sensors are widespread in application, e.g. for the detection of methane in city gas or carbon monoxide from incomplete combustion [1]. Due to the involved chemistry a sensor element does not react to just one gas component, but with different sensitivities to different gas components. Sensor elements prepared with different additives and different operating temperatures respond to certain gases in a different way.
منابع مشابه
Identification of Formaldehyde under Different Interfering Gas Conditions with Nanostructured Semiconductor Gas Sensors
Sensor array with pattern recognition method is often used for gas detection and classification. Processing time and accuracy have become matters of widespread concern in using data analysis with semiconductor gas sensor array for volatile organic compound gas mixture classification. In this paper, a sensor array consisting of four nanostruc‐ tured semiconductor gas sensors was used to generate...
متن کاملA Self-Reconstructing Algorithm for Single and Multiple-Sensor Fault Isolation Based on Auto-Associative Neural Networks
Recently different approaches have been developed in the field of sensor fault diagnostics based on Auto-Associative Neural Network (AANN). In this paper we present a novel algorithm called Self reconstructing Auto-Associative Neural Network (S-AANN) which is able to detect and isolate single faulty sensor via reconstruction. We have also extended the algorithm to be applicable in multiple faul...
متن کاملApplication of Gas Sensor Arrays in Assessment of Wastewater Purification Effects
A gas sensor array consisting of eight metal oxide semiconductor (MOS) type gas sensors was evaluated for its ability for assessment of the selected wastewater parameters. Municipal wastewater was collected in a wastewater treatment plant (WWTP) in a primary sedimentation tank and was treated in a laboratory-scale sequential batch reactor (SBR). A comparison of the gas sensor array (electronic ...
متن کاملGas Sensing Techniques in Electronic Nose and its Applications: A Review
Electronic noses instruments were developed as systems for the discrimination of gases and odors. An electronic nose is a portable device which strives to sniff complex mixtures of volatile organic compounds. It consists of a large array of chemical sensors with associated signal conditioning and pattern recognition techniques. An electronic noses employs different types of gas sensors that use...
متن کاملNonlinear inverse dynamic models of gas sensing systems based on chemical sensor arrays for quantitative measurements
Gas sensing systems based on low-cost chemical sensor arrays are gaining interest for the analysis of multicomponent gas mixtures. These sensors show different problems, e.g., nonlinearities and slow time-response, which can be partially solved by digital signal processing. Our approach is based on building a nonlinear inverse dynamic system. Results for different identification techniques, inc...
متن کامل