Correlation-based comparison of analog signatures for identification and fault diagnosis

Abstract

Automatic fault diagnosis and circuit identification using analog signatures are of great practical interest. The problem of automatic comparison of nearly similar analog signatures is addressed in this paper. Two known correlation-based similarity criteria are compared, and a new criterion is introduced by the use of a weighting factor, which improves the discrimination capability. Comparative results for various signatures are given, and useful applications of this work are discussed.