Computer Science – Artificial Intelligence
Scientific paper
Nov 1986
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986stin...8720471.&link_type=abstract
Final Report Martin Marietta Aerospace, Denver, CO. Aerospace Div.
Computer Science
Artificial Intelligence
Computer Programs, Data Systems, Expert Systems, Failure Analysis, Nickel Cadmium Batteries, Automatic Control, Electric Power Supplies, Electrical Faults, Energy Storage, Hubble Space Telescope
Scientific paper
The applicability of artificial intelligence methodologies for the automation of energy storage management, in this case, nickel cadmium batteries, is demonstrated. With the Hubble Space Telescope Electrical Power System (HST/EPS) testbed as the application domain, an expert system was developed which incorporates the physical characterization of the EPS, in particular, the nickel cadmium batteries, as well as the human's operational knowledge. The expert system returns not only fault diagnostics but also status and advice along with justifications and explanations in the form of decision support.
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