posted on 2018-09-19, 14:17authored byPhilip A. Higgs
The task of selecting and developing a method of Human Computer Interaction (HCI) for a
Condition Based Maintenance (CBM) system, is investigated in this thesis. Efficiently and
accurately communicating machinery health information extracted from Condition
Monitoring (CM) equipment, to aid and assist plant and machinery maintenance decisions,
is the crux of the problem being researched.
Challenges facing this research include: the multitude of different CM techniques,
developed for measuring different component and machinery condition parameters; the
multitude of different methods of HCI; and the multitude of different ways of
communicating machinery health conditions to CBM practitioners. Each challenge will be
considered whilst pursuing the objective of identifying a generic set of design and
development principles, applicable to the design and development of a CBM system's
Human Machine Interface (HMI). [Continues.]
Funding
PRIME Faraday Partnership. EPSRC (grant no.: GR/P03537/01).
History
School
Mechanical, Electrical and Manufacturing Engineering
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2006
Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.