Journal of Applied Reliability (한국신뢰성학회지:신뢰성응용연구)

The Korean Reliability Society (한국신뢰성학회)
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Method of Processing the Outliers and Missing Values of Field Data to Improve RAM Analysis Accuracy

RAM 분석 정확도 향상을 위한 야전운용 데이터의 이상값과 결측값 처리 방안

  • Kim, In Seok (Department of Industrial and Management Engineering Daegu University) ;
  • Jung, Won (Department of Industrial and Management Engineering Daegu University)
  • 김인석 (대구대학교 산업경영공학과) ;
  • 정원 (대구대학교 산업경영공학과)
  • Received : 2017.08.30
  • Accepted : 2017.09.12
  • Published : 2017.09.25
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Abstract

Purpose: Field operation data contains missing values or outliers due to various causes of the data collection process, so caution is required when utilizing RAM analysis results by field operation data. The purpose of this study is to present a method to minimize the RAM analysis error of the field data to improve the accuracy. Methods: Statistical methods are presented for processing of the outliers and the missing values of the field operating data, and after analyzing the RAM, the differences between before and after applying the technique are discussed. Results: The availability is estimated to be lower by 6.8 to 23.5% than that before processing, and it is judged that the processing of the missing values and outliers greatly affect the RAM analysis result. Conclusion: RAM analysis of OO weapon system was performed and suggestions for improvement of RAM analysis were presented through comparison with the new and current method. Data analysis results without appropriate treatment of error values may result in incorrect conclusions leading to inappropriate decisions and actions.

Keywords

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