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<title>Mahalanobis Distance and Projection Pursuit Analysis for
Health Assessment of Electronic Systems
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<center><i>IEEE Aerospace Conference</i>

<br><h2>Mahalanobis Distance and Projection Pursuit Analysis for
Health Assessment of Electronic Systems
</h2>
<br><b>Sachin Kumar</b><br><b>Vasilis Sotiris</b><br>
<b>Michael Pecht</b><br>
Prognostics Health Management Lab<br>
Center for Advanced Life Cycle Engineering (CALCE)<br>
University of Maryland<br>
College Park, MD 20742, USA<br><br>


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<b>Abstract:</b>

<p>This paper presents a Mahalanobis Distance and
Projection pursuit analysis based prognostic and diagnostic
approach for early detection of anomalies in electronic
products and systems. These have been used to detect
deviations in system performance from normal operation,
and are efficient at characterizing products with short field
histories. A case study is presented to demonstrate that an
“abnormal” system can be distinguished from a “normal”
system and that a new system can be characterized based on
existing baselines from different computer models.
</p>


<p><a href="../../fulltext/2008/08_Sachin_mahabolisDistance_IEEBigSky.pdf">Complete article</a> is available to CALCE PHM Consortium Members.</p>


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