Database architecture for data mining to aid real-time range safety decision in a test range

A. K. Checker; R. Appavu Raj

doi:10.1117/12.665519

18 April 2006 Database architecture for data mining to aid real-time range safety decision in a test range

A. K. Checker, R. Appavu Raj

Proceedings Volume 6241, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006; 624104 (2006) https://doi.org/10.1117/12.665519
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Flight vehicles carrying sensitive payloads and large amount of propellants pose danger to life and property around launch pad area. There are inherent limitations in conventional decision support system and at times the man in the loop is under severe strain while analyzing the real time data of flight vehicle for range safety decision support system. It is essential to use newer technological input for designing flight termination system for handling high speed, high maneuvering and multi-platform based flight vehicles. This calls for extensive trajectory simulation under various flight conditions and failure modes, collection of actual test data of sub systems and post flight data along with geographical, metrological and tracking instrument data to be collected and organized in a data warehouse for data mining. The information obtained in real time using large data base will aid range safety decision making in a complex scenario of flight testing in a test range. This paper highlights briefly the existing system and its constraints and attempt to evolve an innovative system combining knowledge base and real time data from multiple sensors and fusing the data from similar and dissimilar sensors using state-vector fusion technique for more reliable and quick range safety decision making.

Citation Download Citation

A. K. Checker and R. Appavu Raj "Database architecture for data mining to aid real-time range safety decision in a test range", Proc. SPIE 6241, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006, 624104 (18 April 2006); https://doi.org/10.1117/12.665519

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