Health monitoring of electronic products based on Mahalanobis distance and Weibull decision metrics

This paper presents a novel approach for health monitoring of electronic products using the Mahalanobis distance (MD) and Weibull distribution. The MD value is used as a health index, which has the advantage of both summarizing the multivariate operating parameters and reducing the data set into a fused distance index. The Weibull distribution is used to determine health decision metrics, which are useful in characterizing distributions of MD values. Furthermore, a case study of notebook computer health monitoring system is carried out. The experimental results show that the proposed method is valuable. Ó 2010 Elsevier Ltd. All rights reserved.