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- W3109364863 abstract "Suspension affects the stability, ride comfort, handling stability, safety and other performance of the body. In this paper, the fuzzy comprehensive identification algorithm is introduced into the vehicle resonance suspension device detection. The fuzzy comprehensive identification algorithm is used to identify the vehicle mode, calculate the change of vehicle inertia parameters, and propose a higher damping ratio which has a greater impact on the vehicle identification results. Based on the fuzzy comprehensive identification (FCRA) algorithm, a resonant vehicle suspension device detection platform is proposed, which detects the resonant vehicle suspension device caused by the fault by the change of the fuzzy comprehensive identification coefficient and the required modal parameters of the output. The test results show that the performance of the resonant suspension device test-bed is stable and can meet the needs of the performance test of the vehicle suspension device." @default.
- W3109364863 created "2020-12-07" @default.
- W3109364863 creator A5034604761 @default.
- W3109364863 date "2020-01-01" @default.
- W3109364863 modified "2023-09-25" @default.
- W3109364863 title "Resonant Automotive Suspension Device Detection Bench Based on Fuzzy Comprehensive Recognition Algorithm (FCRA)" @default.
- W3109364863 doi "https://doi.org/10.1504/ijise.2020.10033881" @default.
- W3109364863 hasPublicationYear "2020" @default.
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