Design of Robust Sensor Networks
Instruments fail in many ways. One important noncatastrophic failure is bias, also referred to as systematic error. When data reconciliation is performed, systematic errors produce a smearing effect in all the data so that the whole data set has to be discarded. Without data reconciliation, no smearing exists, but there is no other way than direct inspection to determine this situation.