A novel combined method based upon nodal test and measurement test (NT-MT) was proposed for gross error detection and steady-state data reconciliation.In NT-MT

nodal test and measurement test were used together to find the suspicious nodes with gross error and to further find the most suspicious measurement variable connected to one of the found suspicious nodes.Then

adjustment test

which was able to consider the known knowledge obtained by expert

was introduced to determine whether the most suspicious measurement variable had gross error or not.This method took advantage of both nodal test and measurement test and overcame their disadvantages.The results of a simulation and an industrial application showed that the proposed method could get accurate results for the system with more than one gross error and was superior to iteration measurement test (IMT).