Equipment health monitoring with non-parametric statistics for online early detection and scoring of degradation

Mokhtar, M., Edge, J.C. and Mills, A.R. (2014) Equipment health monitoring with non-parametric statistics for online early detection and scoring of degradation. In: PHM 2014 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2014. Annual Conference of the Prognostics and Health Management Society 2014, 29 Sep - 02 Oct 2014, Fort Worth, Texas. , pp. 367-377. ISBN 9781936263172

Abstract

Metadata

Authors/Creators:
  • Mokhtar, M.
  • Edge, J.C.
  • Mills, A.R.
Copyright, Publisher and Additional Information: Maizura Mokhtar et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: statistics; detection; systems engineering; fuel systems; failure mode and effect analysis; multivariate analysis; gas turbines; monitoring
Dates:
  • Published (online): 2 October 2014
  • Published: 2 October 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: 27 Jul 2017 08:25
Last Modified: 19 Dec 2022 13:36
Published Version: http://www.dtic.mil/docs/citations/AD1002578
Status: Published
Refereed: Yes

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