The Reliability Physics Approach to Failure Prediction Modeling
M. Pecht, A. Dasgupta, D. Berker, and C. Leonard
Abstract:
Empirically based failure rate modeling methodologies employed in reliability
prediction handbooks, and deterministic modeling methods are both critically
examined using microelectronic packages as vehicles. As an alternative,
a coupled mechano-stochastic approach to reliability prediction modeling
is presented. The goal is to use physics of failure principles with
appropriate failure probability density distributions to design for failure-free
operation and predict failure times for components now available, as well
as new components resulting from new materials, technologies and processes.
In addition, an approach for extending the model to aid in logistics support
analysis is discussed.
Complete
article is available to CALCE Consortium Members.