Livingstone is a discrete, propositional logic-based inference engine that has been used for diagnosis of physical systems. We present a component-based model of a Main Propulsion System (MPS) and say how it is used with Livingstone (L2) in order to implement a diagnostic system for integrated vehicle health management (IVHM) for the Propulsion IVHM Technology Experiment (PITEX). We start by discussing the process of conceptualizing such a model. We describe graphical tools that facilitated the generation of the model. The model is composed of components (which map onto physical components), connections between components and constraints. A component is specified by variables, with a set of discrete, qualitative values for each variable in its local nominal and failure modes. For each mode, the model specifies the component's behavior and transitions. We describe the MPS components' nominal and fault modes and associated Livingstone variables and data structures. Given this model, and observed external commands and observations from the system, Livingstone tracks the state of the MPS over discrete time-steps by choosing trajectories that are consistent with observations. We briefly discuss how the compiled model fits into the overall PITEX architecture. Finally we summarize our modeling experience, discuss advantages and disadvantages of our approach, and suggest enhancements to the modeling process.
The Livingstone Model of a Main Propulsion System
IEEE Aero Conference ; 2003 ; Big Sky, MT, United States
2003-01-01
Preprint
No indication
English
The livingstone model of a main propulsion system
IEEE | 2003
|2.1402 The Livingstone Model of a Main Propulsion System
British Library Conference Proceedings | 2003
|Livingstone Model-Based Diagnosis of Earth Observing One
AIAA | 2004
|The Mission stern-wheel steamer "Livingstone"
Engineering Index Backfile | 1901
Intelligent propulsion system for ship main propulsion manipulator
European Patent Office | 2025
|