ÿþ<html><head> <title>AUTONOMOUS PROGNOSTIC MONITORING DEVICE </title></head> <body bgcolor="#ffffff"> <center><i>Proceeding for 62nd Meeting of the Society for Machinery Failure Prevention Technology (MFPT), Virginia Beach, VA, May 2008</i> <br><h2>AUTONOMOUS PROGNOSTIC MONITORING DEVICE </h2> <br><br><b>Larry Thomas</b><br>ePrognostic Systems Co<br><br><b> Shunfeng Cheng</b><br> <b>Myra Torres</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>A new device for monitoring the environmental and operational stress profiles of products used in a wide range of environmental conditions has been developed. This device, as small as a typical credit card, is capable of recording and transmitting environmental and operational stress data. Prognostic and health monitoring models and algorithms can use this data to do prognostics of the monitored systems. This paper presents details of the construction and application of this monitoring device. Data of a field test are analyzed by sequential probability ratio test to demonstrate the failure prediction methodology. </p> <p><b>Index Terms:</b> Prognostic and health monitoring; ePrognostic sensor system</p> <p><a href="../../fulltext/2008/08_Cheng_autonumousPrognsticMontorng_MFPT.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 ýÿ 2008 by CALCE and the University of Maryland, All Rights Reserved </font></center> </body></html>