Sensor Selection for Fault Detection and Isolation in Structurally Reconfigurable Systems
Fault diagnosis of structurally re-configurable systems is
complicated as the system structure changes when the system
operates in different modes. It is important that faults can
be detected and isolated in each operating mode. In
model-based diagnosis, faults are detected and isolated
by detecting inconsistencies between model predictions and
sensor data. Thus, determining where to mount sensors is an
important task to be able to detect and isolate faults,
especially when faults can result in unexpected system re-configuration. For
structurally re-configurable systems this means selecting a
set of sensors that fulfills requirements in multiple models
describing the different system modes. A sensor selection
algorithm is proposed for structurally re-configurable systems
which computes minimal sensor sets that make faults in all modes
detectable and isolable. As a case study, the sensor selection
algorithm is applied to determine sensor locations in an
eight-speed automatic transmission.
Eeshan Deosthale, Daniel Jung and Qadeer Ahmed
2018
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Last updated: 2021-11-10
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