ÿþ<html><head> <title>Prognostics and Health Management Using Physics-of-Failure </title></head> <body bgcolor="#ffffff"> <center><i>54th Annual Reliability and Maintainability Symposium (RAMS) Las Vegas, Nevada, 2008</i> <br><h2>Prognostics and Health Management Using Physics-of-Failure </h2> <br><b>Jie Gu</b><br> <b>Michael Pecht</b><br> Center for Advanced Life Cycle Engineering (CALCE)<br> University of Maryland<br> College Park, MD 20742, USA<br><br> </center> <b>Abstract:</b> <p>This paper presents a physics-of-failure based prognostics and health management approach for effective reliability prediction. This method permits in-situ assessment of system reliability under actual application conditions. The method uses sensor data with models that enable in-situ assessment of the deviation or degradation of a product from an expected normal operating condition (i.e., the system s  health ) and the prediction of the future state of reliability. The implementation procedure of this approach includes failure modes, mechanisms, and effects analysis, data reduction and feature extraction from the life-cycle loads, damage accumulation, and assessment of uncertainty. </p> <p><b>Index Terms:</b> prognostics and health management, physics-of-failure</p> <p><a href="../../fulltext/2008/08_Jie_physcsFailurePHM_RAMS.pdf">Complete article</a> is available to CALCE PHM Consortium Members.</p> <hr><br> <center> [<a href="http://www.calce.umd.edu">Home Page</a>] [<a href="../../">Articles Page</a>] </center> <center><font size="-1">Copyright &copy; 2008 by CALCE and the University of Maryland, All Rights Reserved </font></center> </body></html>