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HS outperforms HHT because more effective fault features are extracted for fault analysis.
HS is superior to the HHT in that more effective fault features are extracted and employed for fault detection.
Advanced signal processing techniques, such as empirical mode decomposition and wavelet analysis, may be used together with TSA for more effective fault detection and diagnosis.
The goal is to describe new protection techniques that are easily combined with normal data processing methods, leading to more effective fault tolerance.
The purpose is to describe new protection techniques that are easily combined with data processing methods, leading to more effective fault tolerance.
Through the short-circuit tests, the flux-lock type SFCL with the isolated transformer was confirmed to perform more effective fault current limiting and recovery operation compared to the flux-lock type SFCL without the isolated transformer from the viewpoint of the quench occurrence and the recovery time of the SFCL.
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If the value of rate is larger, it means that installing the FCL in this branch is more effective for mitigating fault currents.
Our experimental data suggest that test sets generated based on the mutated models created by insertion operators are more effective in revealing faults in SUC than those generated by omission operators.
This method overcomes the limitation of the widely used Coifman and Wickerhauser's best basis algorithm in detection of transients hidden in large background vibration and is more effective in rotating machinery fault diagnosis especially in the early stage of fault development.
The results demonstrate that the signal-adapted lifting scheme is more effective in extracting inherent fault features from complex vibration signals.
The processed results demonstrate that the proposed method is more effective in extracting weak fault features of induction motor bearings compared with Fourier transform, direct Hilbert envelope spectrum, different wavelet transforms and spectral kurtosis.
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