[논문]FMEDA 기법을 적용한 SIL 등급 판정에 관한 사례연구

김병철; 김영진

doi:10.7232/ieif.2012.25.4.376

FMEDA 기법을 적용한 SIL 등급 판정에 관한 사례연구
Case Study on the Assessment of SIL Using FMEDA 원문보기

산업공학 = IE Interfaces, v.25 no.4, 2012년, pp.376 - 381

김병철 (한양대학교 미래자동차공학과) , 김영진 (부경대학교 시스템경영공학과)

Abstract ▼ AI-Helper

As the number, complexity and interaction of electrical, electronic and programmable electronic (E/E/PE) systems increase, a growing emphasis has been placed on the concept of functional safety during product development. IEC 61508 provides guidelines and standardized procedures in the development of reliable and dependable E/E/PE systems to assure functional safety. Determining risk classes (i.e., safety integrity levels, SILs) associated to a specific E/E/PE item may be recognized as one of the most crucial activities in the product development per IEC 61508 since SILs are used to specify necessary safety requirements for achieving an acceptable residual risk. This article presents a case study on the assessment of SILs applying failure modes, effects and diagnostic analysis (FMEDA) from which failure rates may be derived for each important failure category by combining a standard FMEA with online diagnostic techniques.

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문제 정의

This article presents a case study of SIL assessment based on FMEDA for an electrode type level gauge system.

제안 방법

The case study discussed here is based on the electrode type level gauge system which consists of two parts, micro process unit (MPU) and remote indicator unit (RIU). Depending on the proof-test intervals and operating conditions, the assessment of SILs has been conducted on the basis of PFDs obtained from FMEDA.
Thus, a proper assessment of the SIL for SRSs is very important in applying IEC 61508. In this regard, the main objective of this study is to investigate a case example of the assessment of SILs applying failure modes, effects and diagnostic analysis (FMEDA) from which failure rates may be derived for each important failure category. FMEDA described in this article adopts the standard FMEA format from MIL-STD 1629A.
If the transmission through hardwire fails, the alarm is annunciated and the RS-485 communication is turned on. Individual failure rates are calculated for the prooftest intervals of 1 month, 3 months, 6 months and 12 months. The MPU and RIU are consisted of 142 and 44 part components, respectively, and the failure rates for each component are obtained.

대상 데이터

For example, the hardware block ‘Power’ has two components, SMPS and Battery Charger. An SMPS is composed of 27 individual parts, including one ACDC motor (ACDC1), three diodes (U39, U40, D21), five coils (L3, L4, L5, LF1, LF2), four connector (CN1, SW6-2, SW6-3, SW6-4), one bead coil (LB1), and 13 capacitors (C132~C144). Adding up 27 individual failure rates from reliability prediction results, the failure rate of the component SMPS is found to be 3,524 FIT.
It has been demonstrated that safe failure fraction (SFF) and other parameters necessary for the calculation of probability of failure on demand (PFD) may be obtained from FMEDA. The case study discussed here is based on the electrode type level gauge system which consists of two parts, micro process unit (MPU) and remote indicator unit (RIU). Depending on the proof-test intervals and operating conditions, the assessment of SILs has been conducted on the basis of PFDs obtained from FMEDA.

이론/모형

, proof-test data) are not available. The failure rates of individual components are estimated based on the Part Stress Method of reliability prediction described in MIL-HDBK 217F. As shown in [Appendix 1], an important information for each part is provided in reliability prediction results such as category, brief description, quantity used, individual and overall failure rates along with reference number.

참고문헌 (8)

Bukowski, J. V. and Goble, W. M. (2012), Properly Assessing Mechanical Component Failure Rates, In Proceedings of Reliability and Maintainability Symposium (RAMS), Reno, NV, USA.
Bukowski, J. V. and Goble, W. M. (2009), Validation of a Mechanical Component Constant Failure Rate Database, In Proceedings of Reliability and Maintainability Symposium (RAMS), Fort Worth, NV, USA.
Catelani, M., Ciani, L., Luongo, V., and Singuaroli, R. (2010), Evaluation of the Safe Failure Fraction for an Electromechanical Complex System : Remarks about the Standard IEC 61508, In Proceedings of Instrumentation and Measurement Technology Conference, Austin, TX, USA.
Glotzner, T. (2008), IEC 61508 Certification of a Code Generator, In Proceedings of IET International Conference on System Safety, Birmingham, UK.
Goble, W. M. and Bukowski, J.V. (2007), Development of a Mechanical Component Failure Database, In Proceedings of Reliability and Maintainability Symposium (RAMS), Orlando, FL, USA.
IEC 61508, Functional Safety-Electric/Electronic/Programmable Electronic Safety-Related Systems, 2010.
Karou, S. (2005), EJX Series of IEC 61508 Safety Standard-Compliant Differential Pressure Transmitter, Yokogawa Technical Report, 40, 51-54.
Xie, Y., Li, J., and Zhang, A. (2011), Extended FMEA Method Applied in the Field of Functional Safety, In Proceedings of International Conference on Reliability, Maintainability and Safety (ICRMS), Guiyang, China.

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FMEDA 기법을 적용한 SIL 등급 판정에 관한 사례연구
Case Study on the Assessment of SIL Using FMEDA 원문보기

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FMEDA 기법을 적용한 SIL 등급 판정에 관한 사례연구 Case Study on the Assessment of SIL Using FMEDA 원문보기

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FMEDA 기법을 적용한 SIL 등급 판정에 관한 사례연구
Case Study on the Assessment of SIL Using FMEDA 원문보기

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