An illustration of new methods in machine condition monitoring, Part I: Stochastic resonance

Worden, K., Antoniadou, I., Marchesiello, S. et al. (2 more authors) (2017) An illustration of new methods in machine condition monitoring, Part I: Stochastic resonance. In: Journal of Physics: Conference Series. 12th International Conference on Damage Assessment of Structures , 10-12 July 2017, Kitakyushu, Japan. IOP Publishing .

Abstract

Metadata

Authors/Creators:
  • Worden, K.
  • Antoniadou, I.
  • Marchesiello, S.
  • Mba, C.
  • Garibaldi, L.
Copyright, Publisher and Additional Information: Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd.
Dates:
  • Published: 2 June 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
SIEMENS PLC5215
Depositing User: Symplectic Sheffield
Date Deposited: 19 Jul 2017 13:10
Last Modified: 19 Jul 2017 13:10
Published Version: https://doi.org/10.1088/1742-6596/842/1/012058
Status: Published
Publisher: IOP Publishing
Refereed: Yes
Identification Number: https://doi.org/10.1088/1742-6596/842/1/012058

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