Quantitative Reliability Modeling of Intelligent Water Distribution
Networks
Koosha Marashi
Abstract:
Modern water distribution systems deploy computational and communication capabilities by utilizing
advanced measurement devices, electromechanical actuators, embedded computers, and
telecommunication networks to provide distributed decision support for the water supply network. The
combination of the physical water distribution network and the cyber infrastructure is known as a cyberphysical system. In this research we propose a quantitative reliability model for intelligent water
distribution network as a cyber-physical critical infrastructure. Markov chain imbeddable structure
method is used to capture impairments originating from either physical or cyber components and to
develop a single comprehensive reliability model. As a case study, we illustrate the application of our
model to a small and tractable example of water distribution network previously investigated in the
literature.