A Condition-Based Calibration Method for Flight Test Measuring Equipment

The degradation rate of the specification for the flight test measuring equipment varies with the actual working environment. The determination of the proper calibration time becomes a challenging job as the current method of calibrating test equipment in a fixed period is no longer suitable for the increasingly onerous flight test tasks. This paper proposes a method combining the degradation model and the extended Kalman particle filter algorithm to realize the state detection of the test instrument. Condition-based calibration can be achieved by this method, thereby avoiding flight test risks caused by insufficient calibration and economic waste caused by over-calibration. Finally, the equipment calibration cycle is optimized and the calibration efficiency is improved.