A Novel Pulse Heating Approach for Gas Sensors with Concentration Estimation through Back Propagation Neural Network

Tian, Ye1,2,3; Niu, Gaoqiang1,2,3; Hu, Yushen1,2,3; Wang, Fei1,2,3

10.1109/NEMS50311.2020.9265567

2020

IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS)

2474-3747

2474-3755

978-1-7281-7231-6

2020 IEEE 15TH INTERNATIONAL CONFERENCE ON NANO/MICRO ENGINEERED AND MOLECULAR SYSTEM (IEEE NEMS 2020)

549-553

SEP 27-30, 2020

null,null,ELECTR NETWORK

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

This work aims to heat gas sensors with a novel approach by applying pulse heating instead of conventional DC voltage heating. Since the change in the resistance of the sensor is inapparent, a specific program is adopted to process the origin data, which extracts both rising and dropping edges of the data plot and transforms them into a bitmap. The origin data are plotted into resistance-time figure, and an algorithm is applied to extract the rising edges of each pulse. Then the edges are transformed into a pixel line and further processed. The algorithm for analysis of data and estimation of concentration is realized by utilizing multilayer back propagation neural network (BPNN) and deep learning. Practical tests are conducted on two commercial ethanol sensors MP-3B, with one of them heated by pulse and the other by stable voltage, as calibrated sensor. Currently, a relative error of 10% is achieved when the concentration varies from 0 ppm to 200 ppm. This research shows the potential of applying pulse heating approach for gas sensor testing and quantitively analyzing the concentrations of single VOC gas by BPNN.

Testing Heating systems Gas detectors Ethanol Training Estimation Resistance heating

第一 ; 通讯

英语

EI ; CPCI-S

Shenzhen Science and Technology Innovation Committee[JCYJ20170412154426330]

Engineering ; Science & Technology - Other Topics

Engineering, Electrical & Electronic ; Nanoscience & Nanotechnology

WOS:000722588100088

20210109712502

Chemical sensors ; Data flow analysis ; Data mining ; Deep learning ; Gas detectors ; Heating ; Multilayer neural networks ; Nanosensors ; Torsional stress

Data Processing and Image Processing:723.2 ; Artificial Intelligence:723.4 ; Nanotechnology:761 ; Chemistry:801 ; Accidents and Accident Prevention:914.1 ; Solid State Physics:933

Web of Science

1.Southern Univ Sci & Technol, Sch Microelect, Shenzhen 518055, Peoples R China
2.Southern Univ Sci & Technol, GaN Device Engn Technol Res Ctr Guangdong, Shenzhen 518055, Peoples R China
3.Southern Univ Sci & Technol, Minist Educ, Engn Res Ctr Integrated Circuits Next Generat Com, Shenzhen 518055, Peoples R China

Tian, Ye,Niu, Gaoqiang,Hu, Yushen,et al. A Novel Pulse Heating Approach for Gas Sensors with Concentration Estimation through Back Propagation Neural Network[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2020:549-553.