Fault Diagnosis System Based on Fuzzy Logic:
Application to a Valve Actuator Benchmark
Keywords
- Fault diagnosis system
- Fuzzy logic
- DAMADICS benchmark
Abstract
This paper describes a fault diagnosis system (FDS) for non-linear
plants based on fuzzy logic. The proposed approach, named
VisualBlock-FIR, runs under the Simulink framework and enables early
fault detection, isolation and identification. During fault detection,
the FDS should recognize that the plant behavior is abnormal, and
therefore, that the plant is not working properly. During fault
isolation/identification, the FDS should conclude which type of
failure has occurred. The enveloping and acceptability measures
introduced in VisualBlock-FIR enhance the robustness of the overall
process. The proposed approach is used for tackling faults of the
DAMADICS benchmark and compares the results with other FDS.
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Last modified: June 29, 2011 -- © François Cellier