Early Safety Assessment of Automotive Systems Using Sabotage Simulation-Based Fault Injection Framework

Juez, Garazi; Calonge, Estibaliz Amparan; Lattarulo, Ray; Ruíz, Alejandra; Pérez, Joshue; Espinoza, Huáscar

doi:10.1007/978-3-319-66266-4_17

Cited by 12 publications

(9 citation statements)

References 8 publications

(10 reference statements)

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“…Another potential approach to deal with the inscrutability of AI-based systems is robustness testing, which is a relatively mature technology for assessing the performance of a system under exceptional conditions. Fault Injection (FI) is a robustness testing technique that has been recognized as a potentially powerful technique for the safety assessment and corner-case validation of fault-tolerance mechanisms in autonomous systems [35]. The major aim of performing FI is not to validate functionality, but rather to probe how robust the vehicle is-or their components are-to arbitrary faults under unforeseen circumstances.…”

Section: Towards Robustness Validation Approach For Autonomymentioning

confidence: 99%

Sharpening the Scythe of Technological Change: Socio-Technical Challenges of Autonomous and Adaptive Cyber-Physical Systems

Cancila

Gerstenmayer²,

Espinoza

2018

Designs

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Autonomous and Adaptative Cyber-Physical Systems (ACPS) represent a new knowledge frontier of converging “nano-bio-info-cogno” technologies and applications. ACPS have the ability to integrate new `mutagenic’ technologies, i.e., technologies able to cause mutations in the society. Emerging approaches, such as artificial intelligence techniques and deep learning, enable exponential speedups for supporting increasingly higher levels of autonomy and self-adaptation. In spite of this disruptive landscape, however, deployment and broader adoption of ACPS in safety-critical scenarios remains challenging. In this paper, we address some challenges that are stretching the limits of ACPS safety engineering, including tightly related aspects such as ethics and resilience. We argue that a paradigm change is needed that includes the entire socio-technical aspects, including trustworthiness, responsibility, liability, as well as the ACPS ability to learn from past events, anticipate long-term threads and recover from unexpected behaviors.

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Section: Towards Robustness Validation Approach For Autonomymentioning

confidence: 99%

Sharpening the Scythe of Technological Change: Socio-Technical Challenges of Autonomous and Adaptive Cyber-Physical Systems

Cancila

Gerstenmayer²,

Espinoza

2018

Designs

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“…Our FI framework, however, is implemented in the real-time simulation platform, enabling precise analysis in real time. Similarly, Juez et al [ 42 ] investigated the applicability of a simulation-based FI framework called Sabotage using the vehicle simulator dyanacar. The focus of the proposed work was to determine the most appropriate safety concept and early safety assessment of the lateral control system of a vehicle according to ISO 26262 at the simulation level.…”

Section: Background and Related Workmentioning

confidence: 99%

Hardware-in-the-Loop-Based Real-Time Fault Injection Framework for Dynamic Behavior Analysis of Automotive Software Systems

Abboush

Bamal

Knieke

et al. 2022

Sensors

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A well-known challenge in the development of safety-critical systems in vehicles today is that reliability and safety assessment should be rigorously addressed and monitored. As a matter of fact, most safety problems caused by system failures can lead to serious hazards and loss of life. Notwithstanding the existence of several traditional analytical techniques used for evaluation based on specification documents, a complex design, with its multivariate dynamic behavior of automotive systems, requires an effective method for an experimental analysis of the system’s response under abnormal conditions. Simulation-based fault injection (FI) is a recently developed approach to simulate the system behavior in the presence of faults at an early stage of system development. However, in order to analyze the behavior of the system accurately, comprehensively and realistically, the real-time conditions, as well as the dynamic system model of the vehicle, should be considered. In this study, a real-time FI framework is proposed based on a hardware-in-the-loop (HiL) simulation platform and a real-time electronic control unit (ECU) prototype. The framework is modelled in the MATLAB/Simulink environment and implemented in the HiL simulation to enable the analysis process in real time during the V-cycle development process. With the objective of covering most of the potential faults, nine different types of sensor and actuator control signal faults are injected programmatically into the HiL system as single and multiple faults without changing the original system model. Besides, the model of the whole system, containing vehicle dynamics with the environment system model, is considered with complete and comprehensive behavioral characteristics. A complex gasoline engine system is used as a case study to demonstrate the capabilities and advantages of the proposed framework. Through the proposed framework, transient and permanent faults are injected in real time during the operation of the system. Finally, experimental results show the effects of single and simultaneous faults on the system performance under a faulty mode compared to the golden running mode.

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Section: Authorsmentioning

confidence: 99%

“…Juez et al [19], [36] overcome this problem by combining a model-based design process with a simulation-based fault injection technique. In [36], the authors use Simulink models to represent the system design and the Sabotage fault injection framework to perform safety verification early in the life cycle. The Sabotage framework uses the Simulink model to configure the type, location, and time for the faults to be injected and the Dynacar simulator [47] to perform fault injection simulation.…”

Section: Authorsmentioning

confidence: 99%

Integrated System Design and Safety Framework for Model-Based Safety Assessment

Krishnan

Bhada

2022

IEEE Access

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The increased complexity of modern engineered systems has introduced novel challenges for assessing their safety early in the life cycle. For example, due to the iterative nature of the design and safety life cycle, there is constant data transformation and feedback of information between the system design models, safety analyses, and safety verification. Data transformation and feedback are often manually performed by engineers, which is time-consuming and error prone and can introduce inconsistencies in safety assessments. Although several model-based systems engineering approaches have been developed for safety analysis and safety verification, current approaches do not address the inconsistencies introduced in the safety assessment process. This study describes the Integrated System Design and Safety (ISDS) framework, which is a model-based safety assessment framework that aims to eliminate such inconsistencies. The framework combines a model-based safety analysis approach with a model-based safety verification. This paper extends previous work, which focused on the model-based safety analysis approach, to describe the model-based safety verification approach adopted in the ISDS framework. Safety verification is performed using a simulation-based fault injection approach and enabled by a fault injection engine, which injects failures into the system design and characterizes system behaviors to identify safety violations impacting the system. The results from the case study, in which the framework is used to assess the safety of a forward collision warning system, highlight that the algorithms and automated feedback loops of the framework can reduce inconsistencies in the safety assessment process while also identifying safety violations impacting the system.INDEX TERMS Model-based systems engineering (MBSE), safety analysis, failure modes and effects analysis (FMEA), systems engineering, SysML, simulation-based fault injection, safety verification.

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Early Safety Assessment of Automotive Systems Using Sabotage Simulation-Based Fault Injection Framework

Cited by 12 publications

References 8 publications

Sharpening the Scythe of Technological Change: Socio-Technical Challenges of Autonomous and Adaptive Cyber-Physical Systems

Sharpening the Scythe of Technological Change: Socio-Technical Challenges of Autonomous and Adaptive Cyber-Physical Systems

Hardware-in-the-Loop-Based Real-Time Fault Injection Framework for Dynamic Behavior Analysis of Automotive Software Systems

Integrated System Design and Safety Framework for Model-Based Safety Assessment

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