SafeSysE: A Safety Analysis Integration in Systems Engineering Approach

Mhenni, Faïda; Nguyen, Nga; Choley, Jean-Yves

doi:10.1109/jsyst.2016.2547460

Cited by 48 publications

(41 citation statements)

References 14 publications

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“…Several approaches have been proposed in the field of safety assessment of UAVs. In [21], Mhenni as a case study to design a framework termed SafeSysE, which merges safety assessment and systems engineering to provide safety aspects. The objective of this paper is to develop an approach that automatically generates safety artefacts by adding safety-related concepts to the system.…”

Section: Risk Analysis Approach For Uav Operationsmentioning

confidence: 99%

Qualitative and Quantitative Risk Analysis and Safety Assessment of Unmanned Aerial Vehicles Missions Over the Internet

et al. 2019

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In the last few years, Unmanned Aerial Vehicles (UAVs) are making a revolution as an emerging technology with many different applications in the military, civilian, and commercial fields. The advent of autonomous drones has initiated serious challenges, including how to maintain their safe operation during their missions. The safe operation of UAVs remains an open and sensitive issue, since any unexpected behavior of the drone or any hazard would lead to potential risks that might be very severe. The motivation behind this work is to propose a methodology for the safety assurance of drones over the Internet (Internet of drones (IoD)). Two approaches will be used in performing the safety analysis: (1) a qualitative safety analysis approach, and (2) a quantitative safety analysis approach. The first approach uses the international safety standards, namely ISO 12100 and ISO 13849 to assess the safety of drone's missions by focusing on qualitative assessment techniques. The methodology starts from hazard identification, risk assessment, risk mitigation, and finally draws the safety recommendations associated with a drone delivery use case. The second approach presents a method for the quantitative safety assessment using Bayesian Networks (BN) for probabilistic modeling. BN utilizes the information provided by the first approach to model the safety risks related to UAVs' flights. An illustrative UAV crash scenario is presented as a case study, followed by a scenario analysis, to demonstrate the applicability of the proposed approach. These two analyses, qualitative and quantitative, enable all involved stakeholders to detect, explore and address the risks of UAV flights, which will help the industry to better manage the safety concerns of UAVs.

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Section: Risk Analysis Approach For Uav Operationsmentioning

confidence: 99%

Qualitative and Quantitative Risk Analysis and Safety Assessment of Unmanned Aerial Vehicles Missions Over the Internet

et al. 2019

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“…In this paper, we propose a methodology that contributes in further reducing the gap between MBSE and SA. This work represents an extended version of the SafeSysE methodology [8,15,16]. In SafeSysE, the authors worked on the integration of SA in the MBSE process.…”

Section: Introductionmentioning

confidence: 99%

Improved Safety Analysis Integration in a Systems Engineering Approach

et al. 2019

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The goal of the paper is the integration of safety analysis in a model-based systems engineering approach to ensure consistency between system design and safety artifacts. This integration permits the continuous improvement of the structure and behavior of the system. It also reduces system development time and prevents late detection of errors. To reach this purpose, the SafeSysE methodology is extended. In SafeSysE, a preliminary Failure Mode and Effects Analysis (FMEA) is automatically generated from a SysML model, and this FMEA is then completed by the safety expert but no further development was proposed. The contribution of this paper is to suggest recommendations based on the FMEA analysis in order to enhance the system design and make it comply with safety requirements. First, an updated system structure that may contain redundancy is proposed. Then, a redundancy profile is used to enrich the system model with redundancy information, which will allow the generation of a dynamic fault tree considering the system behavior. Finally, the generated dynamic fault tree should be analyzed in order to create a state machine diagram that describes the behavior of the system. The created state machine with an internal block diagram will help the system designers to better understand the system dysfunctions by simulating the system. The proposed methodology is applied to an Electro-Mechanical Actuator system which is used in the aeronautics domain.

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“…The wide-ranging coverage of the new method can be demonstrated better when compared with the system representation methods in the literature, such as [3], [4], [5] and [6], where graph representation emerges as the major tool for representing the flow of events leading to the failure of the system. An automation method for reliability analyses is proposed in [7], using the link between the fault tree analysis and Failure Modes and Effects Criticality Analysis (FMECA) through representation of the fault tree as directed graph. While these methods aim to describe the relation between system elements, the relations under consideration are event-based and can be considered as scenario specific.…”

mentioning

confidence: 99%

Fault Management Based on Systems Description as Directed Graph With Absolute Dependence Relations

Tigrek

2019

IEEE Systems Journal

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Fault management based on systems description as directed graph with absolute dependence relations Citation for published version (APA):Tigrek, R. (2019). Fault management based on systems description as directed graph with absolute dependence relations.Abstract-A new systems description method that utilizes graph theory for systems modeling is presented. The new method represents the system in terms of a directed graph, where each system component is represented by a vertex and dependencies between system components are represented by directed edges, also called arcs. The absolute dependence rule is introduced as the criterion for the analysis of a system into the graph representation. Together with the concept of an elementary component of a system, the proposed systems description method is applicable to a wide variety of systems for fault diagnosis, reliability engineering and other system modeling and system architecture design purposes. The application of the new method for fault diagnosis is demonstrated in this paper by developing a novel fault management algorithm, and connections with several other systems description methods are presented.

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SafeSysE: A Safety Analysis Integration in Systems Engineering Approach

Cited by 48 publications

References 14 publications

Qualitative and Quantitative Risk Analysis and Safety Assessment of Unmanned Aerial Vehicles Missions Over the Internet

Qualitative and Quantitative Risk Analysis and Safety Assessment of Unmanned Aerial Vehicles Missions Over the Internet

Improved Safety Analysis Integration in a Systems Engineering Approach

Fault Management Based on Systems Description as Directed Graph With Absolute Dependence Relations

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