Dr. Edoardo Patelli (School of Engineering, University of Liverpool, UK)

An Intuitive Simulation Framework for reconfigurable complex multi-state systems with interdependencies
When Oct 18, 2017
from 02:00 PM to 03:00 PM
Where LR8
Contact Name
Contact Phone 01865-283446
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Complex topology, multi-state behaviour, component interdependencies and interactions with external phenomena are prominent attributes of many realistic systems. Maintenance is a necessity for most multicomponent systems, but its benefits are often accompanied by considerable costs. Given system complexities and operational uncertainties, identifying the optimal maintenance strategy is a challenge

Analytical reliability evaluation techniques have limited applicability to such systems and efficient simulation models are therefore required.

 

A robust computational framework is proposed to simplify the availability assessment of these systems. It is particularly suited to systems affected by uncertainties (failure time of components, maintenance interventions etc.). It allows tracking of changes in performance levels of components, that adequately define component behavior under various conditions. System operation is reconstructed from these models using an efficient hybrid load-flow and event-driven Monte Carlo simulation.  The proposed approach is intuitive, robust to errors and require less human effort.

 

This framework is used to identify the optimal maintenance strategies for a hydroelectric power plant and to evaluate the availability analysis of an offshore plant with interdependencies, operated in the presence of limited maintenance teams and operational loops.