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- W2758774080 abstract "Vibration responses from spalled races of rolling element bearing are composed of two parts. The first (step response-low frequency event) originates when the rolling element moves into the spall, while the second (impulse response-high frequency) results from the impact of the rolling element with the trailing edge. The estimation of the spall size (entry-impact spacing) is often a challenging task due to the need of providing a signal processing algorithm to equally balance both events. In this paper, a signal processing algorithm to aid fault size estimation is proposed. The algorithm involves the enhancement of the step response through using autoregressive inverse filtration, which has the effect of removing deterministic components including the sinusoidal ringing effect of resonances, thus providing a much needed enhancement to the weak entry event and better localization to the impulse event. Results from a naturally grown inner race spall are presented to demonstrate the effectiveness of the proposed processing algorithm and compare it to a previously utilized autoregressive whitening algorithm." @default.
- W2758774080 created "2017-10-06" @default.
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- W2758774080 date "2017-01-01" @default.
- W2758774080 modified "2023-09-27" @default.
- W2758774080 title "Vibration signal pre-processing for spall size estimation in rolling element bearings using autoregressive inverse filtration" @default.
- W2758774080 hasPublicationYear "2017" @default.
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