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However, the feature frequency face may lose fault information.
However, MSDE only utilizes the fault information in the low frequency components and consequently the fault information hidden in the high frequency components is discarded.
The results demonstrate that the proposed method can identify fault information effectively and accurately.
The representative IMF containing fault information is selected for demodulation analysis to identify the fault characteristics.
This is suitable for mining the most essential fault information [19].
Moreover, although many progresses of sparse representation theory have been made in feature extraction of fault information, the theory also confronts inevitable performance degradation due to the fact that relatively weak fault information has not sufficiently prominent and sparse representations.
However, it is challenging for the SR technique to identify sensitive fault information in non-stationary signals.
Additionally, test case and fault information are given to this framework to perform an evaluation analysis of prioritization.
HS technique outperforms PSD in all five scenarios because of the extensive fault information exploration and fault features enhancement.
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The local detector extracted the faults' information content of the residual signals via CUSUM statistical hypothesis testing.
In particular, the finite element method has been used to model different kinds of pipes and faults, and to obtain several returning echoes containing the faults information.
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