[논문]철도시스템 이상진단 및 예지정비를 위한 FMEA 분석 방안 연구

오왕석; 김경화; 김재훈

doi:10.14346/jkosos.2023.38.5.43

철도시스템 이상진단 및 예지정비를 위한 FMEA 분석 방안 연구
A Study on FMEA Analysis Method for Fault Diagnosis and Predictive Maintenance of the Railway Systems 원문보기

한국안전학회지 = Journal of the Korean Society of Safety, v.38 no.5, 2023년, pp.43 - 50

오왕석 (서울과학기술대학교 철도안전공학과) , 김경화 (서울과학기술대학교 전기정보공학과) , 김재훈 (한국철도기술연구원)

Abstract ▼ AI-Helper

With the advent of industrialization, consumers and end-users demand more reliable products. Meeting these demands requires a comprehensive approach, involving tasks such as market information collection, planning, reliable raw material procurement, accurate reliability design, and prediction, including various reliability tests. Moreover, this encompasses aspects like reliability management during manufacturing, operational maintenance, and systematic failure information collection, interpretation, and feedback. Improving product reliability requires prioritizing it from the initial development stage. Failure mode and effect analysis (FMEA) is a widely used method to increase product reliability. In this study, we reanalyzed using the FMEA method and proposed an improved method. Domestic railways lack an accurate measurement method or system for maintenance, so maintenance decisions rely on the opinions of experienced personnel, based on their experience with past faults. However, the current selection method is flawed as it relies on human experience and memory capacity, which are limited and ineffective. Therefore, in this study, we further specify qualitative contents to systematically accumulate failure modes based on the Failure Modes Table and create a standardized form based on the Master FMEA form to newly systematize it.

주제어

표/그림 (21)

그림 Fig. 1. Changes in maintenance technology³⁾.
그림 Fig. 2. Four major steps of PHM³⁾.
그림 Fig. 3. Application stage of PHM³⁾.
그림 Fig. 4. PHM target selection procedure through FMEA analysis³⁾.
표 Table 1. Considerations for each step of PHM application
표 Table 2. PHM target selection criteria
표 Table 3. Criticality rating according to failure mode (C)　
표 Table 4. Functional rating according to failure mode (D)
표 Table 5. PHM target level
표 Table 6. Surveillance method for each surveillance target 　
표 Table 7. Classification according to surveillance method (location) by surveillance target
그림 Fig. 5. P-F Interval⁵⁾.
표 Table 8. Surveillance and diagnostic phase 　
표 Table 9. Prediction method
표 Table 10. PHM Factor(s)
그림 Fig. 6. Screen door structure.
표 Table 11. Failure detection rate by installation location　
그림 Fig. 7. Example of PHM selection.
그림 Fig. 8. Definition of monitoring method for each PHM target.
그림 Fig. 9. FMEA analsys (Criticality, failure effect).
그림 Fig. 10. Example of Factor(s) analysis results for PHM target.

참고문헌 (14)

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