Validating Behavioral Models For Reuse
Author(s)
Paredis, Christiaan J. J.
Malak, Richard J., Jr.
Advisor(s)
Editor(s)
Collections
Supplementary to:
Permanent Link
Abstract
When using a model to predict the behavior of a physical system of interest, engineers
must be confident that, under the conditions of interest, the model is an adequate
representation of the system. The process of building this confidence is called model
validation. It requires that engineers have knowledge about the system and conditions of
interest, properties of the model and their own tolerance for uncertainty in the
predictions. To reduce time and costs, engineers often reuse preexisting models that
other engineers have developed. However, if the user lacks critical parts of this
knowledge, model validation can be as time consuming and costly as developing a
similar model from scratch. In this article, we describe a general process for performing
model validation for reused behavioral models that overcomes this problem by relying on
the formalization and exchange of knowledge. We identify the critical elements of this
knowledge, discuss how to represent it and demonstrate the overall process on a simple
engineering example.
Sponsor
G.W. Woodruff School of Mechanical Engineering
Georgia Institute of Technology
NASA Ames Research Center (under cooperative agreement NNA04CK40A)
NASA Ames Research Center (under cooperative agreement NNA04CK40A)
Date
2007
Extent
Resource Type
Text
Resource Subtype
Paper
Pre-print
Pre-print