Abstract: Simulation-based fault injection is an approach, which is usually conducted in the design phase to evaluate the reliability of circuits.
Fault injection (FI) is a widely used approach to evaluate the reliability of circuits, and possibility for fault propagation into errors and failures. FI can ...
The possibilities of applying machine learning as enhancement to the fault injection to reduce the runtime of the fault verification is explored and a set ...
In machine learning, data augmentation (DA) is a technique for improving the generalization performance. In this paper, we mainly considered gradient descent of ...
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The ML algorithm uses domain knowledge and simulation models at different abstraction levels to predict catastrophic faults, which fail the model's properties.
3: required information, scenario selection, fault injection and reinforcement learning algorithm, simulation and visualisation, and classification of ...
The ML algorithms chooses the fault parameter in each simulation, based on the parameter of the injected fault and the simulation result. As the proposed method.
This paper presents DriveFI, a machine learning-based fault injection ... We now describe the design of the model and its training and inference. ... Li et al., “ ...
Mar 14, 2023 · Using fault injection, we can perform resilience investigations of the DL system by modifying neuron weights and outputs at the software-level, ...
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This new approach has shown astonishing results in the simulation of complex engineering problems, providing even more opportunities for real-time simulations ...