ÿþ<html><head> <title>Failure Mechanisms Based Prognostics </title></head> <body bgcolor="#ffffff"> <center><i>2008 INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT</i> <br><h2>Failure Mechanisms Based Prognostics</h2> <br><br><b>Sony Mathew</b><br><b>Diganta Das</b><br><b>Michael Pecht,<i> Fellow, IEEE</i></b><br> Center for Advanced Life Cycle Engineering (CALCE) <br>University of Maryland<br>College Park, MD 20742, USA<br> <br><b>Roger Rossenberger</b><br> Lockheed Martin Co.<br> Manassas, VA 20742, USA<br> </center> <b>Abstract:</b> <p>Prognostics methods are being developed to evaluate the reliability of a system in its actual life-cycle conditions, to estimate the times to failure and to mitigate system risks. A key requirement in any prognostics method is identification of the appropriate parameter(s), which, can be used to asses impending failure, if monitored. This paper presents a physics-of-failure based methodology, which uses failure modes, mechanisms and effects analysis (FMMEA) to enhance prognostics planning and implementation. Also presented are two ways of implementing the FMMEA based methodology. </p> <p><b>Index Terms:</b> Failure mechanisms, legacy systems, precursors, remaining life, prognostics</p> <p><a href="../../fulltext/2008/08_Sony_failureMechanism_PHMConf.pdf">Complete article</a> is available to CALCE PHM Consortium Members.</p> <p><font size="-2"><font color="red">© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.</font></font> </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 ýÿ 2008 by CALCE and the University of Maryland, All Rights Reserved </font></center> </body></html>