A Neural Network VME-module for recognizmg AC Current Demand Signatures in Space Shuttle Telemetry Data

An implementation of an analog neural network trained to identify signatures from the AC electrical power system on the Space Shuttle Orbiter is described. This demonstration project shows that a small stand alone system in the form of a VME-module can be designed, constructed and tested within days, provided a proper set of training vectors are available.