The Experts below are selected from a list of 27 Experts worldwide ranked by ideXlab platform
P. Holub - One of the best experts on this subject based on the ideXlab platform.
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Consideration of common cause Failures in safety systems
2008Co-Authors: Josef Borcsok, P. HolubAbstract:Systems in which Failure could endanger human life are termed safety-critical. The SIS (Safety Instrumented System) should be designed to meet the required safety integrity level as defined in the safety requirement specification. Moreover, the SIS design should be performed in a way that minimizes the potential for common mode or common cause Failures (ccf). The ccf are the biggest part when calculating the probability of Failure for redundant safety integrity systems. A ccf can occur, when a Random Hardware Failure leads to a Failure of several components. There are several methods to calculate the probability of ccf, which will be shown in this paper. The ccf ratio for the calculation of the overall probability of Failure is defined with the beta-factor.
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AICCSA - Different approaches for probability of common cause Failure on demand calculations for safety integrity systems
2008 IEEE ACS International Conference on Computer Systems and Applications, 2008Co-Authors: Josef Borcsok, P. HolubAbstract:The common cause Failures (ccf) are the biggest part when calculating the probability of Failure for redundant safety integrity systems. A ccf can occur, when a Random Hardware Failure leads to a Failure of several components. There are several methods to calculate the probability of ccf. Three models will be shown in this paper, with the help of which the beta-factor will be calculated. The ccf ratio for the calculation of the overall probability of Failure is defined with the beta-factor.
Georg Scharfenberg - One of the best experts on this subject based on the ideXlab platform.
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Random Hardware Failure compliance of a cell balancing circuit with the requirements of automotive functional safety
International Conference on Applied Electronics, 2015Co-Authors: Gerhard Hofmann, Georg ScharfenbergAbstract:Lithium ion batteries have become established as an energy storage for electric vehicles. An essential component for optimal utilization of the stored charge is a cell balancing between the individual cells. There are several standard applications on the market now. In this paper it is shown by an example that a standard cell balancing circuit is compliant with the requirements of ISO 26262 with respect to Random Hardware Failure. As an example the circuit is being evaluated whether it satisfies the requirements of the safety goal “overcharging shall be prevented” with respect to Random Hardware errors.
Karol Rastocny - One of the best experts on this subject based on the ideXlab platform.
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PDeS - Considerations of the recovery in 2-out-of-3 safety-related control system
IFAC Proceedings Volumes, 2012Co-Authors: Juraj Ilavský, Karol RastocnyAbstract:Each form of recovery can be modelled as different system behaviour with respect to its state-space, therefore the recovery – either after a Random Hardware Failure of after a scheduled maintenance – has major impact on system safety. The paper summarises theoretical background and establishes assumptions on recovery implementation into generic model of 2-out-of-3 control system. A continuous Time Markov Chain method is used to model and evaluate safety, while hazardous Failure rate of the system serves as a quantitative safety measure.
Josef Borcsok - One of the best experts on this subject based on the ideXlab platform.
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Consideration of common cause Failures in safety systems
2008Co-Authors: Josef Borcsok, P. HolubAbstract:Systems in which Failure could endanger human life are termed safety-critical. The SIS (Safety Instrumented System) should be designed to meet the required safety integrity level as defined in the safety requirement specification. Moreover, the SIS design should be performed in a way that minimizes the potential for common mode or common cause Failures (ccf). The ccf are the biggest part when calculating the probability of Failure for redundant safety integrity systems. A ccf can occur, when a Random Hardware Failure leads to a Failure of several components. There are several methods to calculate the probability of ccf, which will be shown in this paper. The ccf ratio for the calculation of the overall probability of Failure is defined with the beta-factor.
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AICCSA - Different approaches for probability of common cause Failure on demand calculations for safety integrity systems
2008 IEEE ACS International Conference on Computer Systems and Applications, 2008Co-Authors: Josef Borcsok, P. HolubAbstract:The common cause Failures (ccf) are the biggest part when calculating the probability of Failure for redundant safety integrity systems. A ccf can occur, when a Random Hardware Failure leads to a Failure of several components. There are several methods to calculate the probability of ccf. Three models will be shown in this paper, with the help of which the beta-factor will be calculated. The ccf ratio for the calculation of the overall probability of Failure is defined with the beta-factor.
Gerhard Hofmann - One of the best experts on this subject based on the ideXlab platform.
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Random Hardware Failure compliance of a cell balancing circuit with the requirements of automotive functional safety
International Conference on Applied Electronics, 2015Co-Authors: Gerhard Hofmann, Georg ScharfenbergAbstract:Lithium ion batteries have become established as an energy storage for electric vehicles. An essential component for optimal utilization of the stored charge is a cell balancing between the individual cells. There are several standard applications on the market now. In this paper it is shown by an example that a standard cell balancing circuit is compliant with the requirements of ISO 26262 with respect to Random Hardware Failure. As an example the circuit is being evaluated whether it satisfies the requirements of the safety goal “overcharging shall be prevented” with respect to Random Hardware errors.
