A vision of energy-based visualisation of large scale industrial systems for the purposes of condition monitoring
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Date
Authors
Van Schoor, G.
Uren, K.R.
Journal Title
Journal ISSN
Volume Title
Publisher
NWU
Abstract
Most large scale industrial systems can be viewed as processes that convert energy from one form to another.
Energy is a universal quality of which the distribution holds meaning across physical domains i.e. thermal-fluid,
mechanical, electrical and chemical. This paper presents a vision of using energy information of a process to
visualise or characterise what is happening in the process with regards to energy. This energy information is then
represented in a form that retains the structural information, making it possible to relate patterns in the
representation to specific locations in the process. The energy attributes considered include energy flow rates
between components of the system and the change in exergy flow rates across components. An energy
representation of a process can form the basis for fault detection and diagnosis (FDD) or optimal control through
the definition of a reference energy representation. The use of energy information linked to specific locations in the
system, classifies the approach to FDD in the hybrid class which represents a hybrid between a pure data-driven
and model-based approach. Attributed graphs are considered in this work as a structure that can describe the
system’s energy attributes while retaining structural information. The usefulness of the energy representations for
the purpose of condition monitoring is illustrated through a few case studies. The case studies include a heated two
tank system, a gas to liquids process and a Brayton cycle. The results illustrate that energy-visualisation as a means
to condition monitoring shows promise in terms of detecting and diagnosing typical faults in large scale industrial
processes where energy conversion is the main concern
Description
Citation
Van Schoor, G. & Uren, K.R. 2018. A vision of energy-based visualisation of large scale industrial systems for the purposes of condition monitoring. (In Heyns, P.S., Van Vuuren, P.A., Van Schoor, G. & Rao, R.B.K.N., eds. Proceedings of the 31st International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM), 2-5 July 2018, Sun City, Rustenburg, South Africa. p.337-346). [http://www.comadem2018.com/]