A new data processing method in intelligent measuring system
Zhou De-jian · 2003
In the intelligent measuring system, the measured signal is repeatedly acquired by MPU, and the acquired data is preceded. Usually, there is a coarse error in the measured data in the intelligent measuring system because of the operator fault, outer fierce interference, etc. These coarse error data should be eliminated. The principle and fault of the traditional coarse error criterion are introduced(the traditional coarse error criterion are unreliable when the value of n is limited).Based on statistical estimation theory, a new coarse error criterion is shaped and the application of method introduced.The expected result is achieved in the experiment of actual measuring system.