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[HTML][HTML] Survey on mining signal temporal logic specifications
Formal specifications play an essential role in the life-cycle of modern systems, both at the
time of their design and during their operation. Despite their importance, formal …
time of their design and during their operation. Despite their importance, formal …
Frequency-temporal-logic-based bearing fault diagnosis and fault interpretation using Bayesian optimization with Bayesian neural networks
Rolling element bearings are widely used components in modern rotary machines, and
accurate diagnosis and interpretation for faults of bearings are significant for equipment …
accurate diagnosis and interpretation for faults of bearings are significant for equipment …
Offline and online learning of signal temporal logic formulae using decision trees
G Bombara, C Belta - ACM Transactions on Cyber-Physical Systems, 2021 - dl.acm.org
In this article, we focus on inferring high-level descriptions of a system from its execution
traces. Specifically, we consider a classification problem where system behaviors are …
traces. Specifically, we consider a classification problem where system behaviors are …
Self-aware cyber-physical systems
In this article, we make the case for the new class of Self-aware Cyber-physical Systems. By
bringing together the two established fields of cyber-physical systems and self-aware …
bringing together the two established fields of cyber-physical systems and self-aware …
Temporal-logic-based semantic fault diagnosis with time-series data from industrial internet of things
The maturity of sensor network technologies has facilitated the emergence of an industrial
Internet of Things (IIoT), which has collected an increasing volume of data. Converting these …
Internet of Things (IIoT), which has collected an increasing volume of data. Converting these …
Interpretable classification of time-series data using efficient enumerative techniques
Cyber-physical system applications such as autonomous vehicles, wearable devices, and
avionic systems generate a large volume of time-series data. Designers often look for tools …
avionic systems generate a large volume of time-series data. Designers often look for tools …
Time to learn–learning timed automata from tests
Abstract Model learning has gained increasing interest in recent years. It derives
behavioural models from test data of black-box systems. The main advantage offered by …
behavioural models from test data of black-box systems. The main advantage offered by …
Synthesizing efficiently monitorable formulas in metric temporal logic
In runtime verification, manually formalizing a specification for monitoring system executions
is a tedious and error-prone process. To address this issue, we consider the problem of …
is a tedious and error-prone process. To address this issue, we consider the problem of …
Mining road traffic rules with signal temporal logic and grammar-based genetic programming
Traffic systems, where human and autonomous drivers interact, are a very relevant instance
of complex systems and produce behaviors that can be regarded as trajectories over time …
of complex systems and produce behaviors that can be regarded as trajectories over time …
Monitors that learn from failures: Pairing STL and genetic programming
In several domains, systems generate continuous streams of data during their execution,
including meaningful telemetry information, that can be used to perform tasks like …
including meaningful telemetry information, that can be used to perform tasks like …