An enhanced empirical mode decomposition method for blind component separation of a single-channel vibration signal mixture

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Keyphrases

100
Vibration Signal Keyphrases
100
Single Channel Keyphrases
100
Component Separatio... Keyphrases
100
Ensemble Empirical ... Keyphrases
100
Empirical Mode Deco... Keyphrases
77
Intrinsic Mode Func... Keyphrases
44
Periodic Component Keyphrases
44
Transient Component Keyphrases
33
Spectral Coherence Keyphrases
22
Spectral Dependence Keyphrases
22
Mode Mixing Problem Keyphrases
11
Rule-based Keyphrases
11
Non-stationary Sign... Keyphrases
11
Nonlinear Signal Keyphrases
11
Signal Processing T... Keyphrases
11
Local Minima Keyphrases
11
Simple Component Keyphrases
11
Impulsivity Keyphrases
11
Fault Signal Keyphrases
11
Signal of Interest Keyphrases
11
Fusion Rule Keyphrases
11
Multi-fault Keyphrases
11
Universal Standards Keyphrases
11
Adaptive Signal Pro... Keyphrases

INIS

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decomposition INIS
100
mixtures INIS
100
signals INIS
30
randomness INIS
30
periodicity INIS
15
mixing INIS
7
processing INIS
7
comparative evaluat... INIS
7
performance INIS
7
simulation INIS
7
nonlinear problems INIS

Engineering

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Single Channel Engineering
100
Empirical-Mode Deco... Engineering
53
Intrinsic Mode Func... Engineering
30
Transients Engineering
15
Independent Variabl... Engineering
7
Measures Engineering
7
Performance Engineering
7
Characteristics Engineering
7
Local Minimum Engineering
7
High Degree Engineering
7
Processing Method Engineering
7
Fusion Rule Engineering
7
Adaptive Signal Pro... Engineering
Research OutputsResearch Output authored by An enhanced empirical mode decomposition method for blind component separation of a single-channel vibration signal mixture is tagged with the concept