Titlebook: Advances in Technical Diagnostics II; Proceedings of the 7 Andrzej Puchalski,Bogus?aw Edward ?azarz,Radoslaw Conference proceedings 2023 T

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https://doi.org/10.1057/9781137385796arning algorithms, it is possible to detect anomalies suggesting the existence of a cyber-attack and to take countermeasures. It should be emphasised that the presented methodology for detecting anomalies of control signals on CAN buses can also serve as a tool of protection against taking control o

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Monitoring the Technical Condition of the Marine Turbine Engines by Analysis of Rundown Resonance P new specific copy. The resonance parameters recorded during the rundown of the rotor system were used, which eliminates the influence of the combustion process on the recorded vibration signals. The tests were carried out on four engines of the same type in continuous operation..

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https://doi.org/10.1007/978-3-319-71831-6 a K-means clustering algorithm. The procedure leads to the indication of faulty and flawless regions of the sample. Experiments were conducted on a carbon fiber reinforced polymer (CFRP) sample with artificially created defects in the form of Teflon inserts imitating delaminations on various depths.

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https://doi.org/10.1007/978-3-319-71831-6rents simulation and calculations of the magnetic quantities of the motor, such as the magnetic induction vector or inductance, were performed. As a result, 3D maps are created, which can be used later for dynamic modeling and another research.

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https://doi.org/10.1007/978-3-319-71831-6varying levels of similarity, and the development of a robust and diverse database for decision systems training and evaluation. All of these requirements were addressed in the scope of the SYPIN project - aimed at developing an autonomous system that can replace human experts at every stage of SHM data processing.

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