A method for fusing evidence information using Bayesian belief network is introduced for sensor data validation. Uncertainty expression and inference mechanism of sensor states and relations in engine and its components test are defined. The algorithms for automatic generation of the Bayesian belief network files, belief probability calculation and network update are developed. The methodology is demonstrated and validated in a model rocket engine.