A Study on Continuous Resilient Average for Sensor Transient Response

In order to determinate the desired values, the steady state responses of sensors are used. Sensor responses changes very fast at transient response region at the begining of measurement. The time series data of transient responses provide extra information about slope and trend of sensor response. There could be some noise at sensor responses due to sensor and enverimont. The noise ocurred at the sensors may affect a lot more the slope information attemporary state area. In this research, simple first and second order continuous resillent average filters were recommended and compared with standart Kalman filter for transient and steady state responses noise added and slope information.