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April 6, 2008

Mtg: A New Perspective on Electronic Product Reliability: Prognostics and Health Management

by @ 3:19 pm. Filed under ALL, Communications, Computers/Software, Electronics Design, Engineering Mgmt

SCV Components, Packaging and Manufacturing Technology & Reliability Chapters
Speaker: Prof. Michael Pecht, Center for Advanced Life Cycle Engineering (CALCE), University of Maryland
Time: Dinner at 6:30 PM, Presentation (no cost) at 7:30 PM
Cost: $25 for dinner (if reserved by April 6)
Place: Ramada Inn, 1217 Wildwood Ave (Fwy 101 frontage road, between Lawrence Expressway and Great America Parkway), Sunnyvale
RSVP: by email with Janis Karklins,


Reliability is the ability of a product or system to perform as intended (i.e., without failure and within specified performance limits) for a specified time, in its life-cycle environment. ? It is now well known that the handbook electronics reliability prediction methods (Mil-Hdbk-217, 217-Plus, Bellcore/ Telcordia, PRISM, FIDES, SAE) are misleading and provide erroneous life predictions, a fact that led the U.S. military and many commercial companies to abandon these electronics reliability prediction methods. ? Although the use of stress and damage models permits a more accurate result, their application to long-term reliability predictions based on extrapolated short-term life testing data or field data, is typically constrained by insufficient knowledge of the actual operating and environmental application conditions of the product. ? This also affects the cost-effective and efficient application of accelerated test methods.

Prognostics and health management is a method that permits the assessment of the reliability of a system under its actual application conditions. ? It integrates sensor data with models that enable in-situ assessment of the deviation or degradation of a product from an expected normal operating condition (i.e., the systemâ??s â??health???) and also predicts the future state of reliability based on current and historic conditions.

The Center for Advanced Life Cycle Engineering (CALCE) at the University Of Maryland has an established Prognostics and Health Management (PHM) Consortium to provide basic research and technology to members. ? Different prognostics approaches that have been assessed by CALCE PHM include: the use of expendable devices, such as â??canariesâ?? and fuses that fail earlier than the host product to provide advance warning of failure; the monitoring and reasoning of parameters that are precursors to impending failure, such as shifts in performance parameters; and the modeling of stress and damage utilizing life cycle loads (e.g., usage, temperature, vibration, radiation). ? Examples of implementation methods and results are given.


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