调制电压对SnO2传感器动态响应特性的影响OA

To improve the linearity of SnO2 gas sensors for transformer fault diagnosis,this study explores the impact of dynamic temperature modulation modes on sensor performance.Using methane as a typical fault gas,and based on static testing,four voltage wave forms—sine,square,frequency-modulated(FM)and amplitude-modulated(AM)—were applied to modulate the temperature of the sensor,and its dynamic response under different methane concentrations was measured.The maximum amplitude of the response signal was extracted as a characteristic value,and the correlation coefficient(R2)between this value and the gas concentration was calculated to evaluate the linearity under each modulation mode.Results show that dynamic temperature modulation significantly enhances linearity compared to static heating(R2=0.951 2).Among the modulation modes,sine wave modulation(period:25 s)yields R2=0.983 9,square wave modulation(period:15 s)yields R2=0.989 3,AM modulation yields R2=0.993 4,and FM modulation achieves the highest linearity with R2=0.997 5.This study demonstrates that using FM wave temperature modulation can effectively improve the linear performance of SnO2 gas sensors in detecting transformer fault gases,providing technical support for high-precision online monitoring.