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Automated Generation of Fault Management Artifacts from a Simple System ModelOur understanding of off-nominal behavior - failure modes and fault propagation - in complex systems is often based purely on engineering intuition; specific cases are assessed in an ad hoc fashion as a (fallible) fault management engineer sees fit. This work is an attempt to provide a more rigorous approach to this understanding and assessment by automating the creation of a fault management artifact, the Failure Modes and Effects Analysis (FMEA) through querying a representation of the system in a SysML model. This work builds off the previous development of an off-nominal behavior model for the upcoming Soil Moisture Active-Passive (SMAP) mission at the Jet Propulsion Laboratory. We further developed the previous system model to more fully incorporate the ideas of State Analysis, and it was restructured in an organizational hierarchy that models the system as layers of control systems while also incorporating the concept of "design authority". We present software that was developed to traverse the elements and relationships in this model to automatically construct an FMEA spreadsheet. We further discuss extending this model to automatically generate other typical fault management artifacts, such as Fault Trees, to efficiently portray system behavior, and depend less on the intuition of fault management engineers to ensure complete examination of off-nominal behavior.
Document ID
20150007988
Document Type
Conference Paper
External Source(s)
Authors
Kennedy, Andrew K. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Day, John C. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
May 12, 2015
Publication Date
August 19, 2013
Subject Category
Computer Programming and Software
Meeting Information
AIAA Infotech@Aerospace 2013 Conference(Boston, MA)
Distribution Limits
Public
Copyright
Other
Keywords
Spinup and Orient
model-based systems engineering (MBSE)
SMAP