Abstract: Manual dataset labeling is expensive, time-consuming, and susceptible to noise and inaccuracies, often necessitating significant financial investments with risks of inconsistencies from ...
Abstract: In data-driven fault diagnosis, feature selection not only reduces model complexity but also plays a pivotal role in improving prediction accuracy. Existing studies typically employ binary ...
This repository contains the implementation code for our paper on explainable fault diagnosis of marine diesel engine combustion chamber components using thermodynamic simulation-assisted machine ...
The Festo Handling Guide Online engineering tool enables engineers to specify the drives, motors, actuators and accessories of a multi-axis handling system in as little as 20 min. The selection of ...
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