[HTML][HTML] Survey on mining signal temporal logic specifications

E Bartocci, C Mateis, E Nesterini, D Nickovic - Information and Computation, 2022 - Elsevier
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 …

Frequency-temporal-logic-based bearing fault diagnosis and fault interpretation using Bayesian optimization with Bayesian neural networks

G Chen, M Liu, J Chen - Mechanical Systems and Signal Processing, 2020 - Elsevier
Rolling element bearings are widely used components in modern rotary machines, and
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 …

Self-aware cyber-physical systems

K Bellman, C Landauer, N Dutt, L Esterle… - ACM transactions on …, 2020 - dl.acm.org
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 …

Temporal-logic-based semantic fault diagnosis with time-series data from industrial internet of things

G Chen, M Liu, Z Kong - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
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 …

Interpretable classification of time-series data using efficient enumerative techniques

S Mohammadinejad, JV Deshmukh… - Proceedings of the 23rd …, 2020 - dl.acm.org
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 …

Time to learn–learning timed automata from tests

M Tappler, BK Aichernig, KG Larsen… - Formal Modeling and …, 2019 - Springer
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 …

Synthesizing efficiently monitorable formulas in metric temporal logic

R Raha, R Roy, N Fijalkow, D Neider… - … Conference on Verification …, 2023 - Springer
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 …

Mining road traffic rules with signal temporal logic and grammar-based genetic programming

F Pigozzi, E Medvet, L Nenzi - Applied Sciences, 2021 - mdpi.com
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 …

Monitors that learn from failures: Pairing STL and genetic programming

A Brunello, D Della Monica, A Montanari… - IEEE …, 2023 - ieeexplore.ieee.org
In several domains, systems generate continuous streams of data during their execution,
including meaningful telemetry information, that can be used to perform tasks like …