According to the data rectification problem occurred in feed water system of thermal power plants

a redundancy solving constrained genetic algorithm was proposed.The least square estimation was replaced by the Hample robust estimation

which was regarded as the objective function of data rectification math model.The energy and mass balance function of the regenerative feed water system was taken as the constraints and the Hample robust data rectification model was established.According to the piecewise function of the enthalpy calculation

the genetic algorithm was used to solve this optimization problem.By using the redundancy of measuring points

the redundant solution constraint method was also proposed according to the redundancy of data rectification.The simulation results show that

this method has excellent real value approximation capability and the rectified value is more accurate.Moreover

the system abnormal can be alarmed when some fault occurred

and the system will still work effectively even if multiple faults occurred simultaneously.