함정 추진체계 통계학 기반 상태진단 알고리즘 설계 적절성 검토

고영운¹^{, *} ; 김동진² ; 박찬영³

1한화시스템 해양연구소 선임연구원
2한화시스템 해양연구소 전문연구원
3한화시스템 해양연구소 연구원

Review of the Appropriateness of Statistical-Based Condition Diagnosis Algorithm Design for Ship Propulsion System

Youngwoon Ko¹^{, *} ; Dongjin Kim² ; Chanyeong Park³

1Engineer, Naval R&D Center, Hanwha Systems
2Senior engineer, Naval R&D Center, Hanwha Systems
3Junior engineer, Naval R&D Center, Hanwha Systems

Correspondence to: ^*Youngwoon Ko Naval R&D Center, Hanwha Systems 244, 1gongdan-ro, Gumi-si, Gyeongsangbuk-do, 39376, Republic of Korea Tel: +82-54-460-8711 Fax: +82-54-460-8519 E-mail: youngwoon.k@hanwha.com

초록

본 논문에서는 함정에 탑재되는 장비의 운용 중 고장 징후를 조기에 탐지하고, 유지보수 효율성을 제공하기 위한 통계 기반 상태진단 알고리즘의 설계 및 그 적절성을 평가하였다. 제안된 알고리즘은 데이터 전처리, 베이스라인 생성, 경보 판단, 장비 성능 분석 4단계로 구성되며, 각 단계의 설계 적절성 및 적용 가능성을 검토하였다.

Abstract

This study presents the design and validation of a statistics-based condition monitoring algorithm for on board equipment in naval vessels. The proposed algorithm aims to detect early signs of equipment failure during operation and enhance maintenance efficiency. It consists of four stages: data preprocessing, baseline generation, alarm judgment, and equipment performance analysis. Each stage is evaluated in terms of design validity and applicability.

Keywords:

Engineering Control System, Condition-based Maintenance System, Data Preprocessing, Baseline Generation, Alarm Judgment, Equipment Performance Analysis

키워드:

통합기관제어체계, 상태기준정비계통, 데이터 전처리, 베이스라인 생성, 경보판단, 장비성능분석

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