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The results demonstrate that the proposed method performs well.
The proposed method performs a pair-wise KFDA on normal and fault data.
Results show that this proposed method performs more effectively than published techniques.
Experimental results show that the proposed method performs better than state-of-the-art methods.
The proposed method performs two parts of multiplication (from LSB and from MSB) in parallel.
The proposed method performs vibration-based damage detection and localization of the damage in real-time.
The experiment also demonstrated that the proposed method performs well for image classification.
Results show that the proposed method performs best to recognize the early fault types of rolling bearings.
The results indicate that the proposed method performs better than the other methods in condition monitoring of rotating machinery.
Statistical results showed that the proposed method performs well to estimate soil heat flux for both study areas.
A comparison of numerical prediction with experimental data that the proposed method performs efficiently and accurately for wave impact problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com