Enhancement of Physics-of-Failure Prognostic Models with System Level Features

2002 ◽  
Author(s):  
Gregory J. Kacprzynski ◽  
Michael J. Roemer ◽  
Girish Modgil ◽  
Andrea Palladino ◽  
Kenneth Maynard
Keyword(s):  
System Level ◽  
Prognostic Models ◽  
Physics Of Failure

Enhancement of physics-of-failure prognostic models with system level features

2003 ◽  
Author(s):  
G.J. Kacprzynski ◽  
M.J. Roemer ◽  
G. Modgil ◽  
A. Palladino ◽  
K. Maynard
Keyword(s):  
System Level ◽  
Prognostic Models ◽  
Physics Of Failure

Knowledge Based Qualification Methodology to Evaluate Shock Induced Risks in BGA Components

2017 ◽  
Author(s):  
Min Pei ◽  
Guru Arakere ◽  
Milena Vujosevic
Keyword(s):  
User Behavior ◽  
System Level ◽  
Special Focus ◽  
Detailed Knowledge ◽  
End User ◽  
Physics Of Failure ◽  
Knowledge Based ◽  
Test Board ◽  
Deformation Modes

This paper provides details of Knowledge Based Qualification (KBQ) methodology to calculate BGA component shock qualification requirements. The methodology is based on experimental, theoretical and computational approach used to generate a detailed knowledge of the use conditions and failure physics. Discussed are the steps taken to understand the end-user behavior and system design impact on dynamic load experienced by the component in the field. A special focus is placed on the understanding of the board deformation modes, their impact on BGA failures, and the physics-of-failure (PoF) metric that is not only accurate enough but also practical for everyday applications. Theoretical and computational modeling was used to perform the necessary “translations” from use condition to test conditions and from system level drop to test board component shock. These “translations” enabled by the PoF metric, directly lead to the determination of BGA shock qualification requirements.

scholarly journals Using Physics of Failure to Predict System Level Reliability for Avionic Electronics

2013 ◽  
Vol 2013 (1) ◽  
pp. 000031-000038
Author(s):  
Greg Caswell
Keyword(s):  
User Interfaces ◽  
Physical Models ◽  
System Level ◽  
Variation Theory ◽  
Physics Of Failure ◽  
Probabilistic Mechanics ◽  
Electronics Reliability ◽  
Accelerated Life ◽  
Reducing Costs ◽  
Insight Into

Today's analyses of electronics reliability at the system level typically use a “black box approach”, with relatively poor understanding of the behaviors and performances of such “black boxes” and how they physically and electrically interact. Box level analyses tend to use simplistic empirical predictive models, and the effort is typically driven by cost and time constraints. The incorporation of more rigorous and more informative approaches and techniques needs to better understand and to take advantage of the advances in user interfaces and intelligent data capture, which will allow for a broader range of users and for similar resource allocation. Understanding the Physics of Failure (PoF) is imperative. It is a formalized and structured approach to Failure Analysis/Forensics Engineering that focuses on total learning and not only fixing a particular current problem. It can involve material science, physics and chemistry; also variation theory and probabilistic mechanics. The approach necessitates an up-front understanding of failure mechanisms and variation effects. In this paper we will present an explanation of various physical models that could be deployed through this method, namely, wire bond failures; thermo-mechanical fatigue; and vibration. We will provide insight into how this approach is being accepted by system assemblers, as it allows for failure oriented accelerated testing, for substitution or “what if” analyses in lieu of the traditional accelerated life testing. This paper will also provide insight into a process to develop viable test plans and a tool that facilitates the entire process so that minimal testing is performed, thus reducing costs and schedule impacts. Examples of this approach will be presented.

Where do we stand? Comparing system-level service lines in the private sector and in VHA

1998 ◽  
Author(s):  
Martin P. Charns ◽  
Victoria A. Parker ◽  
William H. Wubbenhorst
Keyword(s):  
Private Sector ◽  
System Level

Resilient futures: An individual and system-level approach to improve the well-being and resilience of disadvantaged young Australians.

2018 ◽  
Vol 4 (3) ◽  
pp. 228-244 ◽  
Author(s):  
Ivan J. Raymond ◽  
Matthew Iasiello ◽  
Aaron Jarden ◽  
David Michael Kelly
Keyword(s):  
Well Being ◽  
System Level

Gradient based system-level diagnosis

2007 ◽  
Vol 51 (1-2) ◽  
pp. 43
Author(s):  
Balázs Polgár ◽  
Endre Selényi
Keyword(s):  
System Level ◽  
Gradient Based
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