Blind Deconvolution Using the Eigenvector Algorithm (Eva) Method for the Enhancement of Bearing Signal Through the Transmission Channel
Karimi, Mahdi, Mathew, Joseph, & Tan, Andy (2006) Blind Deconvolution Using the Eigenvector Algorithm (Eva) Method for the Enhancement of Bearing Signal Through the Transmission Channel. In Mathew, J, Kennedy, J, Ma, L, Tan, A, & Anderson, D (Eds.) Proceedings of the 1st World Congress on Engineering Asset Management (WCEAM), 11- 14 July 2006, Australia, Queensland, Gold Coast.
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|Item Type:||Conference Paper|
|Keywords:||Condition Monitoring, Asset Management, Maintenance, Signal Processing, Diagnostics|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Mechanical Engineering not elsewhere classified (091399)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
|Deposited On:||17 Jun 2009 14:27|
|Last Modified:||27 Apr 2010 00:33|
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