Abstract
A new fault isolation method is proposed using state space parity equations and genetic algorithms and is deemed superior to a previous method proposed by the authors. Faults are isolated by making a residual vector zero for a particular individual fault and significantly non-zero for other faults. This method uses genetic algorithms to minimise the effect of a particular fault on the residuals in the presence of the unknown inputs and to maximise the effect for other faults. A real data simulation on a hydraulic test rig is performed to demonstrate the effectiveness of the method.
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Yu, D., Shields, D.N. (1995). Optimally Robust Fault Diagnosis Using Genetic Algorithms. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7535-4_29
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DOI: https://doi.org/10.1007/978-3-7091-7535-4_29
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82692-8
Online ISBN: 978-3-7091-7535-4
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