| 외부환경 정보를 활용한 유도탄 발사관 내부 가상 센서 데이터 생성 기법 |
| 박종우1, 김예준1, 유준우1, 김지원2, 이연호2, 김용수1 |
1경기대학교 산업시스템공학과
2LIG넥스원 PGM IPS연구소 |
| Virtual Sensor Data Generation for Internal Conditions of Missile Canisters Using External Environmental Information |
| Jong-Woo Park1, Ye-Jun Kim1, JunWoo Yu1, Ji-Won Kim2, Youn-Ho Lee2, Yong Soo Kim1 |
1Department of Industrial & Systems Engineering, Kyonggi University
2PGM Integrated Product Support R&D, LIG Nex1 |
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Received: April 16, 2025; Revised: May 3, 2025 Accepted: May 19, 2025. Published online: June 30, 2025. |
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| ABSTRACT |
Purpose:
This study aims to address the difficulty of long-term measurement of missile canister internal temperature by proposing a method to generate virtual sensing data using ambient temperature records. The goal is to produce continuous internal temperature data for degradation prediction and condition assessment.
Methods:
Statistical correction parameters, including the scaling factor (standard deviation ratio) and bias (phase difference), were derived by comparing missile canister internal temperature samples with ambient temperature data. For unmeasured dates, the average and standard deviation of ambient temperature were calculated, and the most statistically similar date within the measured period was identified using Euclidean distance. The corresponding parameters were then applied to estimate the missile canister internal temperature.
Results:
The generated data showed high similarity with actual measurements in both numerical values and overall trends. The method enables internal temperature estimation without additional physical sensors, contributing to reduced maintenance costs and improved operational efficiency.
Conclusion:
This study presents a temperature estimation approach that generates virtual sensing data for missile canisters using ambient temperature records. It offers a practical alternative in environments where direct measurement is limited and supports enhanced degradation modeling. The method is also applicable to other weapon systems and industrial settings with similar constraints. |
| Key Words:
Condition-Based Maintenance(CBM/CBM+), Virtual Sensing, Guided Missile, Temperature Estimation, Condition Monitoring |
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