Title :
The advanced sensor applied to the dust-charged detection
Author :
Maoyong Cao ; XueZhen Cheng ; Yu Hong
Author_Institution :
Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
In this paper, a detection sensor is designed. The mathematics and simulation models based on the charge induction mechanism are built. The characteristics of the sensor are developed by using the finite-element method. A method combined by GA (genetic algorithm) and ANSYS is introduced to analyses the optimal sensitive response. The performance has been evaluated. And the device with three probe scales in series illustrates that the dimension of the device is the most sensitivity issue. At same time, a new measurement system based on the differential principles with three probe device is proposed.
Keywords :
charge measurement; dust; electric sensing devices; finite element analysis; genetic algorithms; pollution measurement; ANSYS; GA; charge induction mechanism; dust charged detection; finite element method; genetic algorithm; mathematics model; optimal sensitive response; simulation model; Electrodes; Probes; Sociology; Statistics; combined method; finite element methods; induction; sensor; three probe scale in series device;
Conference_Titel :
Electron Devices and Solid-State Circuits (EDSSC), 2013 IEEE International Conference of
Conference_Location :
Hong Kong
DOI :
10.1109/EDSSC.2013.6628171
