CAJ | 학술논문

利用4只掺杂Pt的SnO2微热板气体传感器组成传感器阵列来识别三种不同的工业气体（ CO， CH4和C2 H5 OH），传感器加热分别采用了三角波、正弦波、锯齿波和脉冲波四种温度调制模式。然后将得到的传感器动态响应信号进行短时傅里叶变换（ STFT）提取特征信息，并结合主成分分析（ PCA）方法将特征信息进行降维处理，发现调制周期对气体种类影响较小。最后利用决策树识别三种不同的气体，识别准确率较高。实验结果证明了该算法的正确性和可行性。
이용4지참잡Pt적SnO2미열판기체전감기조성전감기진렬래식별삼충불동적공업기체（ CO， CH4화C2 H5 OH），전감기가열분별채용료삼각파、정현파、거치파화맥충파사충온도조제모식。연후장득도적전감기동태향응신호진행단시부리협변환（ STFT）제취특정신식，병결합주성분분석（ PCA）방법장특정신식진행강유처리，발현조제주기대기체충류영향교소。최후이용결책수식별삼충불동적기체，식별준학솔교고。실험결과증명료해산법적정학성화가행성。
Present a method for identifying three different kinds of industrial gases( CO,CH4 and C2 H5 OH),the sensor array consists of 4 SnO2 micro hotplate gas sensor doped Pt. Micro hotplate sensor heater adopts triangle wave,sine wave,saw tooth wave and pulse wave respectively. Then feature information of sensor dynamic response signal is extracted with short-time Fourier transform and combined with principal component analysis method, feature information is processed by dimensionality reduction,it is found that the influence of modulation period on gas species is smaller. Finally,three different gases are recognized by decision tree,recognition accuracy rate is high. Experimental result proves the correctness and feasibility of the algorithm.