초록

용어보기논문에서 용어와 풀이말을 자동 추출한 결과로, 시범 서비스 중입니다. AI-Helper

Abstract ▼ AI-Helper

We proposed a method of fault diagnosis for tin oxide gas sensors using resistance and sensitivity sets and ART2 NN (adaptive resonance theory 2 neural network) with uneven vigilance parameters. In this method two ART2 NN modules are used for gas classification and fault isolation. The sensor featur...

We proposed a method of fault diagnosis for tin oxide gas sensors using resistance and sensitivity sets and ART2 NN (adaptive resonance theory 2 neural network) with uneven vigilance parameters. In this method two ART2 NN modules are used for gas classification and fault isolation. The sensor features for diagnosis were sensor resistance and gas sensitivity sets and the features were manipulated by an ART2 NN modules. We diagnosed tin oxide gas sensors upon exposure to oil vapor, silicon vapor, and high humidity. The performances were finally evaluated with real H₂S gas. This method proves to be helpful to diagnose a fault that was typically generated by oil vapor, silicon vapor, and high humidity and to classify the H₂S gas.

주제어