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Aiming at this problem, an RUL prediction method based on the consistency test of a Wiener process is proposed.
Therefore, this study designed and validated a prediction method based on the supervised learning model with added behavioral and physiological features.
The failure behaviors of a structural Cr Ni–W steel under gigacycle fatigue were investigated, and a life prediction method based on the crack growth was proposed.
Then, this paper proposed a prediction method based on the kernel function and also a switching regime based on the support vectors machine.
In this paper, a certain aircraft gear pump as the research object, aim at the typical failure forms, gear contact fatigue, of gear pump, proposing the prediction method based on the virtual simulation.
In order to reveal the requirements for amino acid sequences prone to form amyloid fibrils, a novel prediction method based on the original structural model of amyloids was developed.
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An attempt to relate the obtained ultimate capacity to prediction methods, based on the European standard for steel structures [1,2], is presented.
Fatigue life prediction methods based on the Equivalent Initial Flaw Size (EIFS) concept under variable amplitude (VA) spectrum loading conditions were studied in this paper.
The prediction methods based on the characteristic lengths are validated by the tests for composite joints with different parameters, and the results indicate that the methodology proposed in this paper can accurately and effectively predict failure loads as well as failure modes in composite pre-tightened tooth.
Figure 1 shows a classification of the seizure detection and prediction methods based on the processing domain.
Prediction methods based on the mesiodistal widths of erupted permanent teeth and/or dimensions of radiographic images of unerupted teeth usually employ simple or multiple linear regressions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com