In order to solve the modeling of basic error of energy meters in the intelligence pattern detection, based on neural networks can deal with every nonlinear function.

The test results show that the basic error,linearity of the capacitive angular sensor can be more effectively improved than before.

This paper introduces the summary of work in practice,a test study,which focused on the basic error of the test voltage and measuring the results of the measurement uncertainty are described evaluation,and introduced the important requirements of the relevant parts of the examination.

This paper mainly presents the method of calibration for intrinsic error of AI 508 type intelligent temperature controller and evaluation of its uncertainty of measurement.

Discuss on some common issues in measuring standard watt-hour meter s fundamental error;

Analysis of linear error of magnetoelectric phase difference type torque rotate speed transducer;

The linear error compensation of the resistance respond senor with the polynomial mathematic model is investigated The mathematic compensation model is established, and the error of the simulation vale to the sample is less than 0 02% by 4 times power polynomial, the simulating precision is high The difference between calculation result and actual data is very little after compensatio

This paper introduces the programme for processing the linear error data of the torquemeter with C language,and points out that the computed result of the programme is accurate and can avoid the faults caused by the manual calculation.