Tagir Fabarisov

Universität Stuttgart · Institute of Automation and Software Engineering

Model-based fault injection methods are widely used for the evaluation of fault tolerance in safety-critical control systems. In this paper, we introduce a new model-based fault injection method implemented as a highly-customizable Simulink block called FIBlock. It supports the injection of typical faults of essential heterogeneous components of Cy...

Recently we introduced a new model-based fault injection method implemented as a highly customizable Simulink block called FIBlock. It supports the injection of typical faults of essential heterogeneous components of Cyber-Physical Systems (CPS), such as sensors, computing hardware, and network. The FIBlock allows to tune a fault type and configure...

Since the introduction of the term CPS in 2006, they came to a long way. CPS are now autonomous and networked systems of systems with state-space exceeding the capabilities of conventional risk analysis methods. Model-based fault injection methods allow assessment of a system’s fault tolerance not only during its design phase but also in the course...

Heterogeneous systems are characterized by a high degree of complexity that poses challenges to conventional anomaly de- tection methods. One of the challenges is the production of large amounts of data where Deep Learning based Anomaly Detection Models (DLAD) have been demonstrated to outperform conven- tional techniques in detecting anomalies. Ho...

Online error detection helps to reduce the risk of failure of safety-critical systems. However, due to the increasing complexity of modern Cyber-Physical Systems and the sophisticated interaction of their heterogeneous components, it becomes harder to apply traditional error detection methods. Nowadays, the popularity of Deep Learning-based error d...

Designing optimal neural network (NN) architectures is a difficult and time-consuming task, especially when error resiliency and hardware efficiency are considered simultaneously. In our paper, we extend neural architecture search (NAS) to also optimize a NN’s error resilience and hardware related metrics in addition to classification accuarcy. To...

A Cyber-Physical System (CPS) is an advanced mechatronic system or a system of distributed and networked mechatronic systems with sophisticated software parts and complex communication protocols. Classical risk assessment methods exploit several well-known methods for evaluating the dependability and resilience properties of technical systems. Howe...

Model-based fault injection methods are widely used for the evaluation of fault tolerance in safety-critical control systems. In this paper, we introduce a new model-based fault injection method implemented as a highlycustomizable Simulink block called FIBlock. It supports the injection of typical faults of essential heterogeneous components of Cyb...