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Pierluigi Pisu

Sanket S Amberkar

Ahmed Soliman

Brian Thomas Murray

Giorgio Rizzoni

A model-based Fault Detection and Isolation (FDI) system and method based on a hierarchical structure for monitoring overall vehicle system performance and diagnosing faults is disclosed. The FDI scheme uses the available sensors in a vehicle system and divides them into subsystems of smaller dimensions containing one or more modules that are related or interconnected. The same module may appear in a different subsystem, but the set of all subsystems does not have to contain all of the modules. For this structure, an FDI scheme comprising several detector units is created. Each detector unit receives information from the sensors and outputs a residual that is sent to a residual evaluation unit which processes the data and performs the residual evaluation for the selected subsystem. Finally, each subsystem outputs a decision that is sent to a supervisor unit performing the final diagnosis.

Model-based fault detection and isolation system and method

A model-based Fault Detection and Isolation (FDI) method and system for monitoring the overall performance in a vehicle system based on a hierarchical structure is disclosed. The FDI scheme uses the available sensors in a vehicle system and divides them into subsystems of smaller dimensions containing one or more modules that are related or interconnected. The same module may appear in a different subsystem, but the set of all subsystems does not have to contain all of the modules. For this structure, an FDI scheme comprising several detector units is created. Each detector unit receives information from the sensors and outputs a residual that is sent to a high-level detector unit which processes the data and performs the residual evaluation for the selected subsystem. Finally, each subsystem outputs a decision that is sent to a supervisor hazard detector performing the final diagnosis.

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Columbus, OH, United States of America

Pierluigi Pisu