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

Automatic fault diagnosis and circuit identification using analog signatures are considered, focusing on the automatic comparison of nearly similar analog signatures. Two known correlation-based similarity criteria are compared, and a new criterion using a weighting factor, which improves the discrimination capability, is introduced. Comparative results for various signatures are given, and useful applications of this work are discussed.<
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