Fault Tree Analysis

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Dan M Shalev - One of the best experts on this subject based on the ideXlab platform.

  • condition based Fault Tree Analysis cbfta a new method for improved Fault Tree Analysis fta reliability and safety calculations
    Reliability Engineering & System Safety, 2007
    Co-Authors: Dan M Shalev, Joseph Tiran
    Abstract:

    Condition-based maintenance methods have changed systems reliability in general and individual systems in particular. Yet, this change does not affect system reliability Analysis. System Fault Tree Analysis (FTA) is performed during the design phase. It uses components failure rates derived from available sources as handbooks, etc. Condition-based Fault Tree Analysis (CBFTA) starts with the known FTA. Condition monitoring (CM) methods applied to systems (e.g. vibration Analysis, oil Analysis, electric current Analysis, bearing CM, electric motor CM, and so forth) are used to determine updated failure rate values of sensitive components. The CBFTA method accepts updated failure rates and applies them to the FTA. The CBFTA recalculates periodically the top event (TE) failure rate (I»TE) thus determining the probability of system failure and the probability of successful system operation—i.e. the system's reliability.

  • condition based Fault Tree Analysis cbfta a new method for improved Fault Tree Analysis fta reliability and safety calculations
    Reliability Engineering & System Safety, 2007
    Co-Authors: Dan M Shalev, Joseph Tiran
    Abstract:

    Abstract Condition-based maintenance methods have changed systems reliability in general and individual systems in particular. Yet, this change does not affect system reliability Analysis. System Fault Tree Analysis (FTA) is performed during the design phase. It uses components failure rates derived from available sources as handbooks, etc. Condition-based Fault Tree Analysis (CBFTA) starts with the known FTA. Condition monitoring (CM) methods applied to systems (e.g. vibration Analysis, oil Analysis, electric current Analysis, bearing CM, electric motor CM, and so forth) are used to determine updated failure rate values of sensitive components. The CBFTA method accepts updated failure rates and applies them to the FTA. The CBFTA recalculates periodically the top event (TE) failure rate ( λ TE ) thus determining the probability of system failure and the probability of successful system operation—i.e. the system's reliability. FTA is a tool for enhancing system reliability during the design stages. But, it has disadvantages, mainly it does not relate to a specific system undergoing maintenance. CBFTA is tool for updating reliability values of a specific system and for calculating the residual life according to the system's monitored conditions. Using CBFTA, the original FTA is ameliorated to a practical tool for use during the system's field life phase, not just during system design phase. This paper describes the CBFTA method and its advantages are demonstrated by an example.

Joseph Tiran - One of the best experts on this subject based on the ideXlab platform.

  • condition based Fault Tree Analysis cbfta a new method for improved Fault Tree Analysis fta reliability and safety calculations
    Reliability Engineering & System Safety, 2007
    Co-Authors: Dan M Shalev, Joseph Tiran
    Abstract:

    Condition-based maintenance methods have changed systems reliability in general and individual systems in particular. Yet, this change does not affect system reliability Analysis. System Fault Tree Analysis (FTA) is performed during the design phase. It uses components failure rates derived from available sources as handbooks, etc. Condition-based Fault Tree Analysis (CBFTA) starts with the known FTA. Condition monitoring (CM) methods applied to systems (e.g. vibration Analysis, oil Analysis, electric current Analysis, bearing CM, electric motor CM, and so forth) are used to determine updated failure rate values of sensitive components. The CBFTA method accepts updated failure rates and applies them to the FTA. The CBFTA recalculates periodically the top event (TE) failure rate (I»TE) thus determining the probability of system failure and the probability of successful system operation—i.e. the system's reliability.

  • condition based Fault Tree Analysis cbfta a new method for improved Fault Tree Analysis fta reliability and safety calculations
    Reliability Engineering & System Safety, 2007
    Co-Authors: Dan M Shalev, Joseph Tiran
    Abstract:

    Abstract Condition-based maintenance methods have changed systems reliability in general and individual systems in particular. Yet, this change does not affect system reliability Analysis. System Fault Tree Analysis (FTA) is performed during the design phase. It uses components failure rates derived from available sources as handbooks, etc. Condition-based Fault Tree Analysis (CBFTA) starts with the known FTA. Condition monitoring (CM) methods applied to systems (e.g. vibration Analysis, oil Analysis, electric current Analysis, bearing CM, electric motor CM, and so forth) are used to determine updated failure rate values of sensitive components. The CBFTA method accepts updated failure rates and applies them to the FTA. The CBFTA recalculates periodically the top event (TE) failure rate ( λ TE ) thus determining the probability of system failure and the probability of successful system operation—i.e. the system's reliability. FTA is a tool for enhancing system reliability during the design stages. But, it has disadvantages, mainly it does not relate to a specific system undergoing maintenance. CBFTA is tool for updating reliability values of a specific system and for calculating the residual life according to the system's monitored conditions. Using CBFTA, the original FTA is ameliorated to a practical tool for use during the system's field life phase, not just during system design phase. This paper describes the CBFTA method and its advantages are demonstrated by an example.

Hilmi Aulawi - One of the best experts on this subject based on the ideXlab platform.

Yiannis Papadopoulos - One of the best experts on this subject based on the ideXlab platform.

  • fuzzy temporal Fault Tree Analysis of dynamic systems
    International Journal of Approximate Reasoning, 2016
    Co-Authors: Sohag Kabir, Martin Walker, Yiannis Papadopoulos, Erich Rude, Peter Securius
    Abstract:

    Fault Tree Analysis (FTA) is a powerful technique that is widely used for evaluating system safety and reliability. It can be used to assess the effects of combinations of failures on system behaviour but is unable to capture sequence dependent dynamic behaviour. A number of extensions to Fault Trees have been proposed to overcome this limitation. Pandora, one such extension, introduces temporal gates and temporal laws to allow dynamic Analysis of temporal Fault Trees (TFTs). It can be easily integrated in model-based design and Analysis techniques. The quantitative evaluation of failure probability in Pandora TFTs is performed using exact probabilistic data about component failures. However, exact data can often be difficult to obtain. In this paper, we propose a method that combines expert elicitation and fuzzy set theory with Pandora TFTs to enable dynamic Analysis of complex systems with limited or absent exact quantitative data. This gives Pandora the ability to perform quantitative Analysis under uncertainty, which increases further its potential utility in the emerging field of model-based design and dependability Analysis. The method has been demonstrated by applying it to a Fault tolerant fuel distribution system of a ship, and the results are compared with the results obtained by other existing techniques. Lack of statistical data poses a problem when performing dependability Analysis.The use of fuzzy numbers is a potential solution to this.We propose a method for the quantification of dynamic systems with uncertain data.The proposed approach is illustrated by a maritime case study.

  • compositional temporal Fault Tree Analysis
    International Conference on Computer Safety Reliability and Security, 2007
    Co-Authors: Martin Walker, Leonardo Bottaci, Yiannis Papadopoulos
    Abstract:

    HiP-HOPS (Hierarchically-Performed Hazard Origin and Propagation Studies) is a recent technique that partly automates Fault Tree Analysis (FTA) by constructing Fault Trees from system topologies annotated with component-level failure specifications. HiP-HOPS has hitherto created only classical combinatorial Fault Trees that fail to capture the often significant temporal ordering of failure events. In this paper, we propose temporal extensions to the Fault Tree notation that can elevate HiP-HOPS, and potentially other FTA techniques, above the classical combinatorial model of FTA. We develop the formal foundations of a new logic to represent event sequences in Fault Trees using Priority-AND, Simultaneous-AND, and Priority-OR gates, and present a set of temporal laws to identify logical contradictions and remove redundancies in temporal Fault Trees. By qualitatively analysing these temporal Trees to obtain ordered minimal cut-sets, we show how these extensions to FTA can enhance the safety of dynamic systems.

Jean Chritophe Madre - One of the best experts on this subject based on the ideXlab platform.

  • Fault Tree Analysis 10 sup 20 prime implicants and beyond
    Reliability and Maintainability Symposium, 1993
    Co-Authors: Olivier Coudert, Jean Chritophe Madre
    Abstract:

    The performances of almost all available Fault Tree Analysis tools are limited by the performance of the prime implicant computation procedure used. All these products manipulate the prime implicants of the Fault Trees explicitly, so that their complexities are directly related to the number of prime implicants to be generated. The authors present a novel Analysis method of coherent as well as noncoherent Fault Trees that overcomes this limitation because its computational cost is not related to the number of variables, gates, or prime implicants of these Trees. The interactive Fault Tree analyzer MetaPrime based on this new method has been shown by experience to be able to perform in seconds the complete Analysis of noncoherent Fault Trees with more than 10/sup 20/ prime implicants. >

  • Fault Tree Analysis 1020 prime implicants and beyond
    1993
    Co-Authors: Olivier Coudert, Jean Chritophe Madre
    Abstract:

    The performances of almost all available Fault Tree Analysis tools are limited by the performance of the prime implicant computation procedure they use. All these procedures manipulate the prime implicants of the Fault Trees explicitly, so that their complexities are directly related to the number of prime implicants to be generated. This paper presents a new Analysis method of coherent as well as noncoherent Fault Trees that overcomes this limitation because its computational cost is not related to either the number of variables or the number of gates or the number of prime implicants of these Trees. The interactive Fault Tree analyser METAPRIME that is based on this new method has been shown by experience to be able to perform in seconds the complete Analysis of noncoherent Fault Trees with more than 10 prime implicants.

  • Fault Tree Analysis 1020 prime implicants and beyond
    1993
    Co-Authors: Olivier Coudert, Jean Chritophe Madre
    Abstract:

    The performances of almost all available Fault Tree Analysis tools are limited by the performance of the prime implicant computation procedure they use. All these procedures manipulate the prime implicants of the Fault Trees explicitly, so that their complexities are directly related to the number of prime implicants to be generated. This paper presents a new Analysis method of coherent as well as noncoherent Fault Trees that overcomes this limitation because its computational cost is not related to either the number of variables or the number of gates or the number of prime implicants of these Trees. The interactive Fault Tree analyser METAPRIME that is based on this new method has been shown by experience to be able to perform in seconds the complete Analysis of noncoherent Fault Trees with more than 10 prime implicants.