Dynamic learning of latent residuals for diagnosing new class drifts in wind turbines

Authors

Roozbch Razavi-Far, Politecnico di Milano
Enrico Zio, Politecnico di Milano

Document Type

Conference Proceeding

Publication Date

1-1-2013

Publication Title

Transactions of the American Nuclear Society

Volume

109

Issue

PART 2

First Page

2144

Last Page

2145

ISSN

0003018X

Recommended Citation

Razavi-Far, Roozbch and Zio, Enrico. (2013). Dynamic learning of latent residuals for diagnosing new class drifts in wind turbines. Transactions of the American Nuclear Society, 109 (PART 2), 2144-2145.
https://scholar.uwindsor.ca/electricalengpub/169