The reliability of multi-parameter insulation diagnosis

On the basis of statistical theory, a method to determine quantitatively the reliability of multi-parameter diagnosis and to optimize the algorithm of multi-parameter diagnosis is put forward. Moreover, as an example, this method is applied to the estimation of residual breakdown voltage of generator bars and the optimized multi-parameter diagnosis algorithm is determined on the basis of actual data. Comparing with experimental data, it shows that the result of multi-parameter prediction model is more accurate than that of single-parameter prediction model when choosing the appropriate parameters group, however the quantity of parameters is not the more the better. To choose appropriate parameters for assessing insulation condition is important.