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Michael Pecht

Researcher at University of Maryland, College Park

Publications -  1194
Citations -  38587

Michael Pecht is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Prognostics & Reliability (statistics). The author has an hindex of 78, co-authored 1131 publications receiving 29099 citations. Previous affiliations of Michael Pecht include City University of Hong Kong & American Society of Mechanical Engineers.

Papers
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Book ChapterDOI

Experimental Validation of LS-SVM Based Fault Identification in Analog Circuits Using Frequency Features

TL;DR: A reliable and accurate (99 %) fault diagnostic framework consisting of a sweep signal generator, spectral estimator and a least squares-support vector machine is experimentally demonstrated.
Proceedings ArticleDOI

Electrochemical migration of land grid array sockets under highly accelerated stress conditions

TL;DR: In this paper, a biased, highly accelerated stress testing (HAST) was conducted on metal-in-elastomer land grid array sockets and the potential chemical mechanism of silver electrochemical migration was described based upon the analysis of the ECM products.
Proceedings ArticleDOI

Room temperature soldering of microelectronic components for enhanced thermal performance

TL;DR: In this paper, a fluxless soldering process is presented, that enables lead-free soldering of semiconductor die-to-heat spreader (and heat spreader-toheat sink structures) at room temperature.
Journal ArticleDOI

Fundamental reliability issues associated with a commercial particle-in-elastomer interconnection system

TL;DR: Recent studies by the CALCE Electronic Products and Systems Center in characterizing the materials and design properties of a commercially available (Thomas and Betts) metal particle-in-elastomer interconnection system revealed the potential failure modes and mechanisms of this elastomer socket, and can be used to select suitable application parameters when using this socket.
Journal ArticleDOI

Selective Dynamical Imaging of Interferometric Data

Joseph R. Farah, +232 more
TL;DR: In this paper , the authors derive a metric of coverage quality based on baseline isotropy and density that is capable of ranking array configurations by their ability to produce accurate dynamical reconstructions.