Validation method of error estimation of the metering device based on Monte Carlo simulation

At present, amid the error estimation analysis of metering devices in plants and stations, the model cannot be verified reasonably because of the sparsity of valid samples, and then the accuracy and applicability of the constructed model cannot be evaluated. To solve this problem, this paper proposes a method to verify the validity of error estimation of the metering device based on Monte Carlo simulation. By using the T-test, F-test, KS-test, and other statistical test methods to test and analyze the data distribution in the source data, Monte Carlo simulation technology is used to generate simulation data distributed with the real source data. On this basis, the out-of-tolerance samples under the simulation data and the real data are constructed to realize the effective verification of the model. The results show that the proposed validity verification method can reasonably compensate for and solve the problem that the model cannot be validated effectively owing to the sparsity of valid samples.