ÿþ<html><head> <title>Model-based and Data-driven Prognosis of Automotive and Electronic Systems</title></head> <body bgcolor="#ffffff"> <center> <em>5th Annual IEEE Conference on Automation Science and Engineering,</em> <em>Bangalore, India, pp. 96-101, August 22-25, 2009</em><br><h2><strong>Model-based and Data-driven Prognosis of Automotive and Electronic Systems</strong></h2> <p><br> <strong>Chaitanya Sankavaram, Bharath Pattipati, Anuradha Kodali, and Krishna Pattipati</strong><br> Electrical and Computer Engineering, <br> University of Connecticut, <br> Storrs, CT, 06269, USA </p> <p><strong>Mohammad Azam</strong><br> Qualtech Systems Inc., <br> Putnam Park, Suite 603<br> 100 Great Meadow Road, <br> Wethersfield, CT, 06109, USA. </p> <p><strong>Sachin Kumar and Michael Pecht </strong><br> Center for Advanced Life Cycle Engineering (CALCE)<br> University of Maryland<br> College Park, MD, 20742 USA<br> <br> </p> </center> <b>Abstract:</b> <p>Recent advances in sensor technology, remote communication and computational capabilities, and standardized hardware/software interfaces are creating a dramatic shift in the way the health of vehicles is monitored and managed. Concomitantly, there is an increased trend towards the forecasting of system degradation through a prognostic process to fulfill the needs of customers demanding high vehicle availability. Prognosis is viewed as an add-on capability to diagnosis that assesses the current health of a system and predicts its remaining life based on sensed features that capture the gradual degradation in the operation of the vehicle. This paper discusses a hybrid model-based, data-driven and knowledge-based integrated diagnosis and prognosis framework, and applies it to automotive (suspension and battery systems) and on-board electronic systems.</p> <p><a href="../../fulltext/2009/Model_Based_Data_Driven.pdf">Complete article</a><a href="../../fulltext/2009/Fusion_Prognostics_Method.pdf"></a><a href="../../fulltext/2009/JIJR1528.pdf"></a> is available to CALCE Consortium Members.</p> <p><font size="-2"><font color="red">&copy; 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>