Model-Based Reliability and Safety: Reducing the Complexity of Safety Analyses Using Component Fault Trees

Hoefig, Kai P.; Joanni, Andreas; Zeller, Marc; Montrone, Francesco; Rothfelder, Martin; Amarnath, Rakshith; Munk, Peter; Nordmann, Arne

doi:10.1109/ram.2018.8463058

Cited by 14 publications

(4 citation statements)

References 10 publications

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“…An example from the manufacturing domain to dynamically perform risk assessment based on a 3D simulation of the system is presented in [15]. Automated Safety Analysis: With Component Fault Trees (CFTs), there is a model-and component-based methodology for fault tree analysis [10,6,9]. In CFTs, every system component is represented by a CFT element.…”

Section: Methods To Enable Continuous Delivery For Safety-critical Sy...mentioning

confidence: 99%

Towards Continuous Safety Assessment in Context of DevOps

Zeller¹

2021

Preprint

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Traditionally, promoted by the internet companies, continuous delivery is more and more appealing to industries which develop systems with safety-critical functions. Since safety-critical systems must meet regulatory requirements and require specific safety assessment processes in addition to the normal development steps, enabling continuous delivery of software in safety-critical systems requires the automation of the safety assessment process in the delivery pipeline. In this paper, we outline a continuous delivery pipeline for realizing continuous safety assessment in software-intensive safety-critical systems based on modelbased safety assessment methods.

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Section: Methods To Enable Continuous Delivery For Safety-critical Sy...mentioning

confidence: 99%

Towards Continuous Safety Assessment in Context of DevOps

Zeller¹

2021

Preprint

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“…This enables the construction of the safety analysis model in a structured way as well as the reduction of the effort to create the safety analysis. As shown in (Höfig, et al, 2018) a FTA does hardly scale with the continuously rising complexity of autonomous systems. With an approach such as Component Fault Trees (CFTs) (Kaiser, et al, 2003) the complexity of the safety analysis can be reduced by applying a divide-and-conquer strategy.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, the same algorithms can be used for qualitative (minimal cut set analysis) and quantitative fault tree analysis as for classic fault trees. Several industrial case studies showed the advantages of using CFTs for the safety analysis of largescale complex systems (Höfig, et al, 2018).…”

Section: Component Fault Trees (Cfts)mentioning

confidence: 99%

Safety Assurance of Autonomous Systems using Machine Learning: An Industrial Case Study and Lessons Learnt

Zeller

2023

INCOSE International Symp

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In order to assess AI/ML‐based autonomous systems in terms of safety, it is not sufficient to assess the system w.r.t. potential failures that could lead to hazards (e.g., as proposed by standards such as IEC 61508, ARP 4761, etc.). Also, functional weaknesses/insufficiencies of the used algorithms according to Safety Of The Intended Functionality (SOTIF) standard ISO 21448 must be considered. In this paper, we present an approach for the safety assessment of systems incorporating AI/ML models using a Model‐based Systems Engineering (MBSE) and a Model‐based Safety Assurance (MBSA) approach. Therefore, we introduce with Component Fault and Deficiency Trees (CFDTs) an extension of the model‐based Component Fault Tree (CFT) methodology. Thereby, we are able to describe cause‐effect relationships between individual failures and functional insufficiencies as well as system hazards and assess if all risks are mitigated. In this paper, we apply our approach to an industrial case study of a self‐driving toy vehicle (the PANORover) and present our lessons learnt.

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“…Using this methodology of components also within fault tree models, benefits during the development can be observed in industrial practice, for example an increased maintainability of the safety analysis model [17].…”

Section: B Component Fault Treesmentioning

confidence: 99%

Combination of Component Fault Trees and Markov Chains to Analyze Complex, Software-Controlled Systems

Zeller

Montrone

2018

2018 3rd International Conference on System Reliability and Safety (ICSRS)

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Fault Tree analysis is a widely used failure analysis methodology to assess a system in terms of safety or reliability in many industrial application domains. However, with Fault Tree methodology there is no possibility to express a temporal sequence of events or state-dependent behavior of softwarecontrolled systems. In contrast to this, Markov Chains are a state-based analysis technique based on a stochastic model. But the use of Markov Chains for failure analysis of complex safetycritical systems is limited due to exponential explosion of the size of the model. In this paper, we present a concept to integrate Markov Chains in Component Fault Tree models. Based on a component concept for Markov Chains, which enables the association of Markov Chains to system development elements such as components, complex or software-controlled systems can be analyzed w.r.t. safety or reliability in a modular and compositional way. We illustrate this approach using a case study from the automotive domain.

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Model-Based Reliability and Safety: Reducing the Complexity of Safety Analyses Using Component Fault Trees

Cited by 14 publications

References 10 publications

Towards Continuous Safety Assessment in Context of DevOps

Towards Continuous Safety Assessment in Context of DevOps

Safety Assurance of Autonomous Systems using Machine Learning: An Industrial Case Study and Lessons Learnt

Combination of Component Fault Trees and Markov Chains to Analyze Complex, Software-Controlled Systems

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