Paper Info
Title
Application of Wavelet Packet and Data-Driven in Fault Diagnosis for Hydropower Units
Abstract
Vibration is one of the most common faults for hydropower units; traditional signal processing methods can not effectively extract the eigenvectors of the fault signals. In this paper, using wavelet packet analyze the spectrum of the vibration signals for hydropower units, extracting the frequency eigenvectors of the signal and use them as the classification data, taking good advantage of the feature of the data and extracting the quantified values of the contribution which the indicators made to classifications, what’s more, taking the weighted distances in place of Euclidean distances, establishing the iterative algorithm to search optimal representative points. Therefore, we can apply this algorithm to diagnosis the fault for hydropower units. The experiment results shows that it is very appropriate for us to use the proposed method to diagnosis the vibration fault for hydropower units.
Year
DOI
Venue
2009
10.1109/SSME.2009.53
SSME
Keywords
DocType
Volume
data mining,iterative methods,vibration,algorithm design and analysis,frequency,feature extraction,wavelet transforms,signal analysis,signal processing,iterative algorithm,eigenvectors,vibrations,wavelet packets,wavelet analysis
Conference
null
Issue
Citations 
PageRank 
null
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Wei Liao100.34
Zhen-tao Wang211.40
Pu Han341.58