Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23896
Title: Intelligent automatic fault detection for actuator failures in aircraft
Authors: Lo, CH
Fung, EHK
Wong, YK
Keywords: Actuators failure
Fault diagnosis
Fuzzy system
Genetic algorithm
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on industrial informatics, 2009, v. 5, no. 1, 4773154, p. 50-55 How to cite?
Journal: IEEE transactions on industrial informatics 
Abstract: This paper applies an intelligent technique based on fuzzy-genetic algorithm for automatically detecting failures in aircraft. The fuzzy-genetic algorithm constructs the automatic fault detection system for monitoring aircraft behaviors. Fuzzy-based classifier is employed to estimates the time of occurrence and types of actuator failure. Genetic algorithms are used to generate an optimal fuzzy rule set for the classifier. The optimization capability of genetic algorithms provides an efficient and effective way to generate optimal fuzzy rules. Different types of actuator failure can be detected online by the fuzzy-genetic algorithm based automatic fault detection system. Simulations with different actuator failures of the nonlinear F-16 aircraft model are reported and discussed.
URI: http://hdl.handle.net/10397/23896
ISSN: 1551-3203
EISSN: 1941-0050
DOI: 10.1109/TII.2008.2008642
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