2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific) 2014
DOI: 10.1109/itec-ap.2014.6940794
View full text |Buy / Rent full text
Sign up to set email alerts

Abstract: It is common to see difficult feature extraction in heavy-duty vehicles fault diagnosis due to strong interference. Blind signal separation(BSS) technology proves to be effective to extract the principal component out of the multi-sources signals. Therefore, it is used to extract the fault information for heavy-duty vehicle in this paper. A bispectrum of the data after BSS is obtained and scanned in frequency field. The result indicates that BSS can reduce the interference out of the engine vibration and extra… Show more

Help me understand this report

This publication either has no citations yet, or we are still processing them

Set email alert for when this publication receives citations?

See others like this or search for similar articles