Bayesian hierarchical models for aerospace gas turbine engine prognostics

Bin Zaidan, M.A., Harrison, R.F., Mills, A.R. et al. (1 more author) (2014) Bayesian hierarchical models for aerospace gas turbine engine prognostics. Research Report. ACSE Research Reports . University of Sheffield.

Abstract

Metadata

Authors/Creators:
  • Bin Zaidan, M.A.
  • Harrison, R.F.
  • Mills, A.R.
  • Fleming, P.J.
Copyright, Publisher and Additional Information: The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Dates:
  • Published: 10 February 2014
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Feb 2014 11:04
Last Modified: 21 Dec 2016 22:49
Status: Published
Series Name: ACSE Research Reports

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