Ersin H. Dogruguven

Bio: Ersin H. Dogruguven is an academic researcher from ASELSAN. The author has contributed to research in topics: IEC 61508 & Markov model. The author has an hindex of 2, co-authored 5 publications receiving 5 citations.

An Evaluation of Safety Standards of E/E/PES Systems Regarding Information Consistency & Enhancement Proposals

Abstract: This paper makes an evaluation of the safety standards of electrical/electronic/programmable electronic safety-related systems (E/E/PES) with regards to consistency of the information provided in these standards and their applicability. It provides open discussion and proposals for essential moot questions utilizing experiences gained in various safety-critical projects in long years, especially in the railway industry. IEC 61508 and CENELEC EN 50126, 50128 and 50129 are used as safety standards in this study.

Augmented Markov Model for Enhancing Hazard Rate Result of Safety Critical Systems Possessing Diverse Redundant Architecture

Abstract: Safety-critical systems in various industries such as transportation or nuclear energy have been paid more attention with the development of societies due to increased attachment of importance to the life of human, their property, and nature. While developing such systems, detailed availability and safety characteristics are to be taken into account in parallel with architectural design decisions such as synchronization between different computing units or real-time task management. For fulfilling top-level requirements in international standards, ambitious quantitative targets like 0.012 FIT for HW units are to be reached where the industry has difficulties to achieve it. In this paper, this problem is handled by proposing an augmented Markov model for diverse architectures that is superior to the formulas provided in the main safety standard IEC 61508 and previous studies. With the proposed method it is possible to cover all safety-relevant states, which leads to more accuracy and lower hazard rates helping to reach these ambitious quantitative targets. Besides, the reliability parameters are investigated and optimized to increase safety performance. Consequently, the proposed novel model including enhanced reliability parameters is used for an industry application, namely safety-critical computer used for unmanned metro and high-speed rail transportation. The result obtained by the proposed model is compared with the results obtained using state of art models in literature and using the formulas in IEC 61508. As domain independent references IEC 61508 and Markovian approach are used in the paper, this study is applicable to other safety critical areas such as automotive or avionic industry.

Enhancement of Full Coverage Markov Model for Diverse Systems with Common Cause Failures

Abstract: Development of mission critical safety systems requires much effort as the resulted system will have impacts on the human life, property and environment. The design criteria such as data interchange between CPUs, synchronization, computation speed and diagnostic measures shall exhaustively be evaluated along with the effects of the parameters used in the reliability and safety calculations ex tunc. This study focuses on the average frequency of a dangerous failure of the safety function (PFHG). In comparison to formulas provided in IEC 61508, a comprehensive and innovative Markov model is proposed for diverse architecture, which helps to cover different safety relevant states to get quantitative results more correctly than provided in the standards and previous studies. The proposed model is applied to the vital computer to be used in the railway domain for CBTC metro and ERTMS ETCS systems and compared with the current models.

Corrections to “Augmented Markov Model for Enhancing Hazard Rate Result of Safety Critical Systems Possessing Diverse Redundant Architecture”

Abstract: In the above paper [1] there are errors introduced during typesetting which we correct here.

Augmented Markov Model for Enhancing Hazard Rate Result of Safety Critical Systems Possessing Diverse Redundant Architecture

Abstract: Safety-critical systems in various industries such as transportation or nuclear energy have been paid more attention with the development of societies due to increased attachment of importance to the life of human, their property, and nature. While developing such systems, detailed availability and safety characteristics are to be taken into account in parallel with architectural design decisions such as synchronization between different computing units or real-time task management. For fulfilling top-level requirements in international standards, ambitious quantitative targets like 0.012 FIT for HW units are to be reached where the industry has difficulties to achieve it. In this paper, this problem is handled by proposing an augmented Markov model for diverse architectures that is superior to the formulas provided in the main safety standard IEC 61508 and previous studies. With the proposed method it is possible to cover all safety-relevant states, which leads to more accuracy and lower hazard rates helping to reach these ambitious quantitative targets. Besides, the reliability parameters are investigated and optimized to increase safety performance. Consequently, the proposed novel model including enhanced reliability parameters is used for an industry application, namely safety-critical computer used for unmanned metro and high-speed rail transportation. The result obtained by the proposed model is compared with the results obtained using state of art models in literature and using the formulas in IEC 61508. As domain independent references IEC 61508 and Markovian approach are used in the paper, this study is applicable to other safety critical areas such as automotive or avionic industry.

Enhancement of Full Coverage Markov Model for Diverse Systems with Common Cause Failures

Abstract: Development of mission critical safety systems requires much effort as the resulted system will have impacts on the human life, property and environment. The design criteria such as data interchange between CPUs, synchronization, computation speed and diagnostic measures shall exhaustively be evaluated along with the effects of the parameters used in the reliability and safety calculations ex tunc. This study focuses on the average frequency of a dangerous failure of the safety function (PFHG). In comparison to formulas provided in IEC 61508, a comprehensive and innovative Markov model is proposed for diverse architecture, which helps to cover different safety relevant states to get quantitative results more correctly than provided in the standards and previous studies. The proposed model is applied to the vital computer to be used in the railway domain for CBTC metro and ERTMS ETCS systems and compared with the current models.

Sistemas instrumentados de segurança implementados em dispositivos lógicos reconfiguráveis: uma revisão sistemática.

Abstract: O objetivo deste trabalho e identificar, classificar e selecionar trabalhos sobre desenvolvimentos de Sistemas Instrumentados de Seguranca (SIS’s) implementados em Arranjo de Portas Programaveis em Campo (FPGA). Um protocolo de pesquisa foi formalizado e executado para conduzir uma revisao sistematica de literatura. Assim, os desenvolvimentos de SIS baseados e implementados em FPGA sao atipicos, indicando-se que pesquisas nesta area devem ser amplamente desenvolvidas e apresentadas no sentido de se incrementar, nao somente o quantitativo de tais trabalhos, como tambem, a qualidade de tais trabalhos em termos de arquiteturas, desenvolvimento com Dispositivos Logicos Reconfiguraveis e implementacoes, testes e validacoes de Sistemas Instrumentados de Seguranca para uso em processos industriais. Os dados obtidos foram analisados e sao apresentadas abordagens para desenvolvimento de SISs baseados em FPGA.

Corrections to “Augmented Markov Model for Enhancing Hazard Rate Result of Safety Critical Systems Possessing Diverse Redundant Architecture”

Abstract: In the above paper [1] there are errors introduced during typesetting which we correct here.