Linearization Method of Carrier Catalytic Gas Sensor Characteristics Using High-Order Polynomial

Abstract

To improve detecting performance of gas concentration in coal-mine, a new linearization method of carrier cat- alytic gas sensor characteristics based on high-order polynomials was introduced. Firstly, the calibration data of sensor was used to establish the training sample set. Then, the high-order polynomial was employed to establish nonlinear re- gression inverse model of sensor characteristics. Finally, the polynomial coefficients were intelligently tuned by improved clone selection algorithm (ICSA) and the criteria of mean absolute error (MAE) minimization. Experimental results showed the the method proposed in this paper is effective, and the performance of inearization model is superior to that of the traditional least square method.