International Journal of Computer, Information, and Systems Science, and Engineering 2;3 © www.waset.org Fall 2008

Health Assessment of Electronic Products using Mahalanobis Distance and Projection Pursuit Analysis



Sachin Kumar
Vasilis Sotiris
Michael Pecht
Center for Advanced Life Cycle Engineering (CALCE)
University of Maryland
College Park, MD 20742, USA

Abstract:

With increasing complexity in electronic systems there is a need for system level anomaly detection and fault isolation. Anomaly detection based on vector similarity to a training set is used in this paper through two approaches, one the preserves the original information, Mahalanobis Distance (MD), and the other that compresses the data into its principal components, Projection Pursuit Analysis. These methods have been used to detect deviations in system performance from normal operation and for critical parameter isolation in multivariate environments. The study evaluates the detection capability of each approach on a set of test data with known faults against a baseline set of data representative of such “healthy” systems.

Index Terms: Mahalanobis distance, Principle components, Projection pursuit, Health assessment, Anomaly

Complete article is available to CALCE PHM Consortium Members.



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