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The Rocketdyne Division of Rockwell International Corporation is currently researching and evaluating the use of Artificial Intelligence and in particular Expert System technologies for the monitoring of large space-based electric power systems such as NASA's Space Station Freedom (SSF). Power System Security of space borne and lunar based electrical power systems provide unique challenges to power system software design engineers. The major responsibility of Power System Security is the monitoring of the state of health of the Power Distribution System. The role of system security is to ensure that uninterrupted electrical power of high quality is distributed to all the load centers [1]. Voltage, current, power source reliability, and power quality are main components that describe the integrity of an electrical power system and fall into the area of security control.

The Space Shuttle Orbiter Atmospheric Revitalization Pressure Control System (ARPCS) and the Fuel Cell System (FCS) use a hot wire anemometer type of gas mass flow sensor for flow measurement. In the ARPCS oxygen and nitrogen mass flows are measured and in the FCS oxygen and hydrogen mass flows are measured. The existing flow sensors suffer from certain accuracy limitations and potential failure modes. A new type of commercially developed solid state micro-machined silicon gas mass flow sensor developed by Honeywell was adapted to allow the technology to be assessed for the application. A demonstration test program has been conducted to evaluate the performance characteristics of the new sensor for space system applications and environments. The testing was sponsored by the National Aeronautics and Space Administration (NASA) at the Johnson Space Center (JSC).

The use of an on-board microprocessor to acquire data on truck and bus performance during in-service operation enables the information transmitted by measurement sensors to be examined, processed, compacted or aggregated, and stored in memory by the on-board computer software. The system development requires a careful balance of the tradeoffs between hardware and software concepts which is quite different from considerations applied with normal “laboratory” type data acquisition systems.

The application of infrared analysis to blended oils is discussed. The specific additive packages can be recognized by their unique spectra as well as any dilution by uncompounded oil.