Identification error is decomposed in contributions per mode and sensor which can be used to localize experimental errors. Four indicators are used to assist the definition of sets of sensors by mode. The four indicators especially helpful for the analysis large datasets. The MACCo algorithm further helps detecting well identified areas where poor correlation occurs.