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- W2308452430 abstract "Characterising road vehicle vibration during transport is essential for the design of protective packaging to not only minimise product damage but also to reduce vibration imposed on drivers and passengers. The random nature of road elevation profiles, coupled with the dynamic behaviour of road vehicles, add further complexities to the response. For instance, non-stationarities are generated by road roughness and vehicle speed variations, while transient events occur due to the presence of aberrations such as cracks and potholes in the road. Furthermore, road vehicle vibration also contains additional harmonic components due to unbalanced wheels and engine-borne vibration. This research seeks to identify these components within a signal by using the Hilbert-Huang Transform. Identification of the harmonic and transient components allows them to be separated from the underlying random Gaussian sequence so that each constituent component can be analysed separately and, if necessary, artificially recombined for simulation purposes. The Hilbert-Huang Transform decomposes the mixed-mode signal into a series of Intrinsic Mode Functions that are essentially narrow-band signals such that their instantaneous frequencies can be calculated by means of the Hilbert Transform. The results presented in this paper show that the Hilbert spectrum can only be used to detect the presence of different components with certain limitations." @default.
- W2308452430 created "2016-06-24" @default.
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- W2308452430 date "2014-11-30" @default.
- W2308452430 modified "2023-09-27" @default.
- W2308452430 title "Using the Hilbert-Huang Transform to Identify Harmonics and Transients within Random Signals" @default.
- W2308452430 hasPublicationYear "2014" @default.
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