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Health prognosis of electronics via ...

Cervantes, Jonathan A.

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Health prognosis of electronics via power profiling.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Health prognosis of electronics via power profiling./
Author:	Cervantes, Jonathan A.
Description:	101 p.
Notes:	Source: Masters Abstracts International, Volume: 47-06, page: 3696.
Contained By:	Masters Abstracts International47-06.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1465195
ISBN:	9781109181272

Health prognosis of electronics via power profiling.
Cervantes, Jonathan A.

Health prognosis of electronics via power profiling. - 101 p.

Source: Masters Abstracts International, Volume: 47-06, page: 3696.

Thesis (M.S.En.E.)--The University of Texas at El Paso, 2009.

The objective of this research is to investigate a new approach for the early detection of latent defects in electronic devices in the field. Reliability is assessed through the non-traditional approach of recording and evaluating the power profile of electronic devices within a deterministic state of operation. Traditionally, measuring the quiescent current (Iddq) of a device has been employed in manufacturing tests to detect defective parts prior to deployment to the field. However, the monitoring of the deterministic power signature (i.e. boot up or during a self-test routine) has never been exploited to monitor the health of a device in the field through out the full product life cycle. Critical to the success of this approach is the development of a viable, low-cost monitoring system that can capture a power signature in a digital format and provide a statistical comparison to previous signatures in order to detect deviations in quality from the device in question. Consideration for the engineering trade-offs between (1) improved sensitivity to reliability problems, and (2) reduced size and costare both taken into account in this thesis, along with a description of a developed platform that will be employed to evaluate the effectiveness of the proposed approach through the capture of Digital Power Signatures (DPSs).

ISBN: 9781109181272Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Health prognosis of electronics via power profiling.
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020 $a 9781109181272
035 $a (UMI)AAI1465195
035 $a AAI1465195
040 $a UMI $c UMI
100 1 $a Cervantes, Jonathan A. $3 1678923
245 1 0 $a Health prognosis of electronics via power profiling.
300 $a 101 p.
500 $a Source: Masters Abstracts International, Volume: 47-06, page: 3696.
500 $a Adviser: Eric MacDonald.
502 $a Thesis (M.S.En.E.)--The University of Texas at El Paso, 2009.
520 $a The objective of this research is to investigate a new approach for the early detection of latent defects in electronic devices in the field. Reliability is assessed through the non-traditional approach of recording and evaluating the power profile of electronic devices within a deterministic state of operation. Traditionally, measuring the quiescent current (Iddq) of a device has been employed in manufacturing tests to detect defective parts prior to deployment to the field. However, the monitoring of the deterministic power signature (i.e. boot up or during a self-test routine) has never been exploited to monitor the health of a device in the field through out the full product life cycle. Critical to the success of this approach is the development of a viable, low-cost monitoring system that can capture a power signature in a digital format and provide a statistical comparison to previous signatures in order to detect deviations in quality from the device in question. Consideration for the engineering trade-offs between (1) improved sensitivity to reliability problems, and (2) reduced size and costare both taken into account in this thesis, along with a description of a developed platform that will be employed to evaluate the effectiveness of the proposed approach through the capture of Digital Power Signatures (DPSs).
590 $a School code: 0459.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0544
690 $a 0771
710 2 $a The University of Texas at El Paso. $b Electrical Eng. $3 1025819
773 0 $t Masters Abstracts International $g 47-06.
790 1 0 $a MacDonald, Eric, $e advisor
790 1 0 $a Moya, John $e committee member
790 1 0 $a Espiritu, Jose F. $e committee member
790 $a 0459
791 $a M.S.En.E.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1465195