AbTech Corporation proposes to apply its unique statistical network data mining technology to develop a real-time diagnostic and on-line health monitoring product for equipment that automatically 1) analyzes equipment operational performance data, 2) learns and models the expected characteristics of specific equipment sensor data, parameters, and failure modes using AbTech's advanced data mining technology, and 3) applies these learned models onboard and on-line to monitor and predict the health of equipment components for "just in time" maintenance and to identify unexpected values and concerning trends in current equipment performance. The proposed system, called the Real-Time Equipment Analyst & Monitor (RTEAM), will be able to identify and interpret complex relationships in equipment behavior to substantially reduce the likelihood of incipient failures and performance degradation being undetected until they cause significant damage to critical equipment components. RTEAM will automatically analyze expected versus actual values of specified sensors, and provide indications of the significance of the differences (i.e., probability of anomaly). It will automatically learn how to detect and isolate anomalous equipment behavior based on operational performance data. The objectives of this effort are to prototype RTEAM and to demonstrate its exceptional potential value for a selected aircraft or spacecraft application.
