초록 ▼

The present invention relates to a diagnostic system for complex systems such as avionics systems. The diagnostic system acquires a description of the system from a variety of design tools and creates a causal network model as an intermediate step. From the causal network model, the diagnostic syste

The present invention relates to a diagnostic system for complex systems such as avionics systems. The diagnostic system acquires a description of the system from a variety of design tools and creates a causal network model as an intermediate step. From the causal network model, the diagnostic system builds and compiles a Q-DAG model of the system, which is then embedded in the central maintenance computer of the aircraft. The present invention integrates two elements, a graphical user interface (GUI), which acts as a data capture tool and graphical display of the avionics system and an inference system, which acts as a diagnostic tool with a presenter. The presenter permits diagnosis of faulty sub-systems and a report may be relayed to remotely located maintenance crews to minimize repair time upon arrival of the aircraft.

대표청구항 ▼

[We claim:] [8.]building a schematic model describing the interconnection of said sub-systems;converting said schematic model to a causal network model describing normal functioning and faulty functioning of said avionics system;converting said causal network model to a query directed acyclic graph

[We claim:] [8.]building a schematic model describing the interconnection of said sub-systems;converting said schematic model to a causal network model describing normal functioning and faulty functioning of said avionics system;converting said causal network model to a query directed acyclic graph (Q-DAG) representation of said causal network;compiling said Q-DAG representation;storing said compiled Q-DAG representation in a memory means associated with a computer, said computer electrically associated with said plurality of sub-systems;monitoring observable variables of said avionics system in accordance with said compiled Q-DAG representation to correlate said observable variables with flight deck effects; andgraphically identifying at least one faulty sub-system and the cascade effect caused by said faulty sub-system on said avionics system.