붓스트랩과 희소정비실적을 활용한 야전 신뢰도 분석 사례 연구
A Case Study on the Field Reliability Analysis Using the Bootstrap and the Sparse Maintenance Data
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초록
In order to support the MND's effective TLCSM activities, DTaQ conducts "field data analysis" every year, which analyzes data generated during military equipment operation and maintenance. Through the above activities, it is possible to provide RAM analysis results using technical statistics related to operation and maintenance of equipment and sub-components using several probability models. In this process, some items that do not have a lot of maintenance data(sparse data) cannot be analyzed by the model which should be used for analysis, such as the PLP model. This is particularly noticeable in early deployment equipment with short operating periods. To solve this, this study proposed the use of the bootstrap technique and confirmed its effectiveness. If the proposed method is more standardized in the future, it is expected to greatly contribute to the expansion of the scope of use of the original data.
Abstract
In order to support the MND's effective TLCSM activities, DTaQ conducts "field data analysis" every year, which analyzes data generated during military equipment operation and maintenance. Through the above activities, it is possible to provide RAM analysis results using technical statistics related to operation and maintenance of equipment and sub-components using several probability models. In this process, some items that do not have a lot of maintenance data(sparse data) cannot be analyzed by the model which should be used for analysis, such as the PLP model. This is particularly noticeable in early deployment equipment with short operating periods. To solve this, this study proposed the use of the bootstrap technique and confirmed its effectiveness. If the proposed method is more standardized in the future, it is expected to greatly contribute to the expansion of the scope of use of the original data.