Innovative methodology for failure rate estimation from quality incidents, for ISO26262 standard requirements

Bergès, Corinne; Chandon, Yves; Gubian, R.

doi:10.1109/ipfa.2012.6306281

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…In equation ( 5), P 0 t ð Þ and P t ð Þ stand for the transferred and original reliability matrix which consists of the state events in the Markov chain, each element in P 0 t ð Þ is the differential coefficient of the element in P t ð Þ. For the Markov chain in Figure 8, P 0 t ð Þ and P t ð Þ can be written as formula (6) and formula (7).…”

Section: Modeling Steps Of the Mixed Modelmentioning

confidence: 99%

“…There was also some research on the calculation of an E/E system random hardware failure rate. Berges et al 7 came up with an innovative methodology for failure estimation from quality incidents, with which all of the data on the failures is no longer needed, nor do they sample the non-failing parts still in the field. Das and Taylor 8 drew out several key frameworks for successfully calculating the probabilistic metric for hardware failure using FTA, he used methods drawn from previous literature to organize potential failures within a complex multi-functional system at the top levels of the analysis and considered the effect of all fault categories with appropriate diagnostic coverage and proof-test interval times at the low levels.…”

Section: Introductionmentioning

confidence: 99%

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A mixed model to evaluate random hardware failures of whole-redundancy system in ISO 26262 based on fault tree analysis and Markov chain

Wang

Chen

Cai

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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In order to ensure safety and reliability, some safety-related electrical and electronic (E/E) systems in vehicles need to be designed as a whole-redundancy system. Although ISO 26262 provides guidance for the analysis of random hardware failure, the problem of estimating whether the safety-related E/E systems, especially whole-redundancy system can meet the index of the ASIL level in ISO 26262 is still unsolved. Fault tree analysis (FTA) is one of the basic methods to analyze random hardware failure of a vehicle’s E/E systems quantitatively. In generic FTA, the quantitative analysis of dynamic logic gates, which usually exist in the fault tree of whole-redundancy system, cannot be calculated. Meanwhile, Markov chain can solve the problem of quantitative calculation of dynamic fault tree, but brings a side-effect of complicating the calculation of static logic gates in fault trees. In order to evaluate random hardware failure of a vehicle E/E system more concisely and effectively, and to estimate if a new safety-related E/E system’s random hardware failure rate can meet the index demand in ISO 26262, this study proposed a mixed model based on FTA and Markov chain. First, the definition of random hardware failure and fault classification were clarified. Then, a mixed model based on FTA and Markov chain was proposed. Finally, a whole-dual-redundancy steer by wire system was used as an example to test the validity of the mixed model. This study not only proposed a new mixed model based on FTA and Markov chain for the calculation of a whole-redundancy system’s random hardware failure rate, but also provided a new quantitative validation method for safety-related E/E systems in vehicles that need to meet the reliability index requirement in ISO 26262.

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Section: Modeling Steps Of the Mixed Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%