中值滤波方法在燃气涡轮传感器数据校正中的应用研究

Application of Median Filter in Gas Turbine Sensor Data Validation

分析了发动机测量信号滤波需求,设计了针对传感器数据校正的中值滤波器和快速算法,给出了模拟发动机故障和变工况试验情况下的传感器输出,给出了滤波比较研究结果。数值实验和实际应用于涡轮试验测量数据滤波的结果表明,中值滤波器对于脉冲噪声可以完全剔除,对随机噪声也具有较好的抑制效果,并能够较好保持信号中的陡峭边沿等趋势成份。

The filtering requirements of engine measurement signals are analyzed. A center weighted median filter and fast algorithm for sensor data validation are presented, and the filtering function and algorithmic efficiency are evaluated with numerical experiments. The simulated test signals are composed of steep edges and slopes that representing abrupt faults, linear deterioration and/or regime transitional response,superimposed with simulated random noise and highamplitude impulsive noise. Results show that median filter is good at removing impulsive noise and outliers. In addition,random noise is suppressed to great extents while preserving the final details. Practical application to gas turbine experimental sensor data validation confirms the above conclusions.