Fault diagnosis method of self-validating metal oxide semiconductor gas sensor based on t-distribution stochastic neighbor embedding and random forest-Reference-Cited by-同舟云学术

Fault diagnosis method of self-validating metal oxide semiconductor gas sensor based on t-distribution stochastic neighbor embedding and random forest

Published:2019-05 Issue:5 Volume:90 Page:055002
ISSN:0034-6748
Container-title:Review of Scientific Instruments
language:en
Short-container-title:Review of Scientific Instruments

Author:

Xu Peng¹^ORCID,Song Kai¹^ORCID,Chen Yinsheng²^ORCID,Wei Guo¹^ORCID,Wang Qi¹^ORCID

Affiliation:

1. Department of Automatic Testing and Control, Harbin Institute of Technology, Harbin 150001, People’s Republic of China

2. Department of Measurement and Control Technology and Instrument, Harbin University of Science and Technology, Harbin 150001, People’s Republic of China

Publisher

AIP Publishing

Subject

Instrumentation

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5090142

Reference42 articles.

1. Sensitive Capacitive-type Hydrogen Sensor Based on Ni Thin Film in Different Hydrogen Concentrations

2. Monitoring of hydrogen concentration using capacitive nanosensor in a 1% H 2 –N 2 mixture

3. Highly sensitive work function hydrogen gas sensor based on PdNPs/SiO2/Si structure at room temperature

4. Comparison of Fast Response and Recovery Pd Nanoparticles and Ni Thin Film Hydrogen Gas Sensors Based on Metal-Oxide-Semiconductor Structure

5. Electrical Properties of the MOS Capacitor Hydrogen Sensor Based on the Ni/SiO₂/Si Structure

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