Journal Abbreviation : ' j. Korea Saf. Manag. Sci.' Frequency : Quarterly Doi Prefix : 10.12812/ksms ISSN : 1229-6783 (Print) / 2288-1484 (Online) Year of Launching : 1999 Publisher : Korea Safety Management & Science Indexed/Tracked/Covered By :
On Multiple ETA-based Test Framework to Enhance Safety Maturity of Live Fire Tests for Weapon Systems
Sung Hyuck Ye*, Jae-Chon Lee**
*Defense Systems Test Center, Agency for Defense Development **Dept. of Systems Engineering, Ajou University
†Corresponding author: Prof. Jae-Chon Lee, Dept. of Systems Engineering, Ajou University, Wonchon-dong, Youngtong-gu, Suwon, 443-749. Tel: 031-219-3941, E-mail: jaelee@ajou.ac.kr
January 20, 2015
March 15, 2015
March 16, 2015
Abstract
Successful development of weapon systems requires a stringent verification and validation (V&V) process due to the nature of the weapons in which continual increase of operational capability makes the system requirements more complicated to meet. Thus, test and evaluation (T&E) of weapon systems is becoming more difficult. In such a situation, live fire tests appear to be effective and useful methods in not only carrying out V&V of the weapon systems under development, but also increasing the maturity of the end users operability of the system. However, during the process for live fire tests, a variety of accidents or mishaps can happen due to explosion, pyro, separation, and so on. As such, appropriate means to mitigate mishap possibilities should be provided and applied during the live fire tests. To study a way of how to accomplish it is the objective of this paper. To do so, top-level sources of hazard are first identified. A framework for T&E is also described. Then, to enhance the test range safety, it is discussed how test scenarios can be generated. The proposed method is based on the use of the anticipatory failure determination (AFD) and multiple event tree analysis (ETA) in analyzing range safety. It is intended to identify unexpected hazard components even in the environment with constraints. It is therefore expected to reduce accident possibilities as an alternative to the traditional root-cause analysis.