Sony Mathew, Mohammed Alam and Michael Pecht
CALCE, University of Maryland, College Park, MD 20742, USA
Predicting the reliability of a system in its
actual life cycle conditions and estimating its time to
failure is helpful in decision making to mitigate system
risks. There are three approaches to prognostics: the
physics-of-failure approach, the data-driven approach, and
the fusion approach. A key requirement in all these
approaches is the identification of the appropriate parameter(s) to monitor the collection of the data that can be
employed to assess impending failure. This article presents
the physics-of-failure approach, which uses failure modes,
mechanisms, and effects analysis (FMMEA) to enhance
prognostics planning and implementation. This article also
presents the fusion approach to prognostics and the applicability of FMMEA to this approach. As an example, a case of generating FMMEA information, and using that to identify appropriate parameters to monitor, is presented.
Keywords: Failure mechanisms, Precursor parameters, Physics-of-failure, Remaining life, Fusion prognostics
Complete article is available from the publisher and to CALCE consortium members.