Real-time Distributed Detection of Damage to Shipboard Fluid Networks Using Enhanced Smart Valve Technology

The objective of our proposal is to develop and demonstrate high-performance embedded algorithms for smart valves that exhibit improved ability to detect damage (i.e., leaks and ruptures) to shipboard fluid networks. Phase I of the proposed effort willfocus on synthesizing non-deterministic smart valve sensor models and parametric and non-parametric detection algorithms. Specifically, we shall derive and validate non-deterministic models that describe how smart valves estimate the states of the fluidsystem (e.g., flows and pressures) during normal conditions, and when fluid network damage exists. Development of these models will assist us in applying decision theoretic and detection theoretic algorithms to detect and classify damage events. Theywill permit us to compare these approaches to current techniques for detecting fluid network damage by comparing their detection capabilities (e.g., detectible size and location of ruptures; effect of sensor placement and sensor noise on rupturedetectability). In Phase II we shall also experiment with multi-hypothesis and