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- W4309375091 abstract "This paper proposes a fault diagnosis method for steer-by-wire (SBW) system with parameter uncertainty. First, the diagnostic bond graph in linear fraction transformation form is employed to model the uncertain SBW system. The analytical redundancy relations (ARRs) and the adaptive thresholds can be derived to detect the occurrence of fault according to this model. Then, the fault signature matrix can be constructed based on ARRs for fault isolation, and the fault isolation result is the possible fault set (PFS). To refine the PFS and locate the real fault, a new fault estimation method named adaptive differential evolutionary biogeography-based optimization (i.e., ADEBBO) algorithm is proposed where the random mutation operation in the traditional biogeography-based optimization algorithm is replaced by adaptive difference evolution mutation operation. The accuracy of fault estimation is improved by the ADEBBO. Finally, the effective of proposed fault diagnosis method is verified by simulation." @default.
- W4309375091 created "2022-11-26" @default.
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- W4309375091 date "2022-10-03" @default.
- W4309375091 modified "2023-09-30" @default.
- W4309375091 title "Fault Diagnosis for Uncertain Steer-by-Wire System via Uncertain Bond Graph and the Adaptive Difference Evolution Mutation Operation" @default.
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- W4309375091 doi "https://doi.org/10.1109/ieacon55029.2022.9951809" @default.
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