M
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.
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A cloud model-based method for the analysis of accelerated life test data
TL;DR: The reasoning method presented is called the multi-rule-based cloud reasoner, which can refine the one-to-one relationship established by models such as the Arrhenius stress model to a many- to-many relationship.
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Health Monitoring and Prognostics of Electronics Subject to Vibration Load Conditions
TL;DR: In this paper, a health monitoring and prognostics methodology for assessing the reliability of a group of electronic components mounted on a printed circuit board by using strain gauges and an accelerometer to monitor the life-cycle vibration loads was discussed.
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Reliability design and case study of a refrigerator compressor subjected to repetitive loads
TL;DR: In this article, a newly designed crankshaft of a compressor for a side-by-side (SBS) refrigerator was studied using mass and energy conservation balances, a variety of compressor loads typically found in a refrigeration cycle were analyzed.
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Challenges in the Qualification of Electronic Components and Systems
TL;DR: A more comprehensive approach to product qualification involving the use of physics-of-failure principles, prognostics and health management techniques, and qualification at every stage of product development that builds on earlier work and industry standards is presented in this paper.
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Tin whisker analysis of Toyota's electronic throttle controls
TL;DR: In this article, the authors present the results of physical analysis that was conducted on Toyota's electronic engine control system including accelerator pedal position sensors (APPSs) and focus on the discovery of tin whiskers found in the accelerator pedal assembly.