Satellite payloads are fast increasing in complexity, resulting in commensurate growth in cost of manufacturing and operation. A need exists for a software tool, which would assist engineers in production and operation of satellite systems. We have designed and implemented a software tool, which performs part of this task. The tool aids a test engineer in debugging satellite payloads during system testing. When an error is detected during execution of a test procedure, the tool presents to the engineer a ranked list of potential sources of the error and a list of recommended further tests. The tool is based on Bayesian networks, a graphical method of representing uncertainty in terms of probabilistic influences. The Bayesian network was configured using detailed flow diagrams of testing procedures and block diagrams of the payload and testing hardware. The tool is the first step in developing a family of tools for various phases of satellite integration and operation.
Bayesian networks for satellite payload testing
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, 2 ; 225-232
1999
8 Seiten, 14 Quellen
Aufsatz (Konferenz)
Englisch
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