NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Safe and Optimal Techniques Enabling Recovery, Integrity, and AssuranceThere is a trend in the aviation industry to go from federated to integrated computing systems. Combining a number of traditional stand-alone federated systems into an integrated common platform (called Integrated Modular Avionics, IMA) has the benefit of increased power efficiency, reduced support hardware, and reduced cabling. However, changing from federated to integrated has a significant impact on the system architecture and hence the process of how avionic systems are to be analyzed. Traditional approaches to safety analysis become inefficient when functional boundaries can no longer be assumed for failure independence and fault isolation. In this report, we describe a tool that we developed to accelerate the safety engineer's ability to perform safety analysis of IMA systems through modeling, as well as optimize the system engineer's ability to develop a system through architecture synthesis. This work was the result of a three-year research effort called SOTERIA (Safe and Optimal Techniques Enabling Recovery, Integrity, and Assurance). We developed a compositional modeling language that supports rapid development, modification, and evaluation of architectures. The modeling language is structured such that the end-user defines a library of components with information on component reliability, connectivity, and fault propagation logic. The system model is built by instantiating the components from the library, connecting the components, and identifying the top-level faults of interest. Our tool is compositional in that the end-user only needs to define safety aspects at the component level. The tool takes the model and automatically synthesizes both the qualitative and quantitative safety analyses. We go further by allowing users to describe system information such as components to use in an architecture and their connection compatibility and automatically synthesize an architecture that meets the top-level probability target adhering to end-user specified constraints. This capability allows users to rapidly explore a design space..
Document ID
20190027401
Acquisition Source
Langley Research Center
Document Type
Contractor Report (CR)
Authors
Siu, Kit Y.
(GE Global Research Center Niskayuna, NY, United States)
Herencia-Zapana, Heber
(GE Global Research Center Niskayuna, NY, United States)
Manolios, Panagiotis
(Northeastern Univ. Boston, MA, United States)
Noorman, Michael
(General Electric Aviation Systems, LLC Grand Rapids, MI, United States)
Haadsma, Richard
(General Electric Aviation Systems, LLC Grand Rapids, MI, United States)
Date Acquired
July 17, 2019
Publication Date
June 1, 2019
Subject Category
Computer Systems
Report/Patent Number
NASA/CR-2019-220283
NF1676L-29251
Funding Number(s)
CONTRACT_GRANT: NNL15AA02C
WBS: 340428.02.10.07.01
Distribution Limits
Public
Copyright
Public Use Permitted.
No Preview Available