The transportation industry historically has used Gaussian random vibration to simulate real-world transportation envi- ronments. However, examination of field measurements reveals the environments to be non-Gaussian in nature. Consequently, transportation test engineers should simulate real-world envi- ronments using non-Gaussian random vibration. Non-Gaussian random vibration (kurtosis control) increases the number of large peak accelerations (arising in field measurements due, in part, to the pot-holes of typical roadways) that the Gaussian random vibration tests “average away” with their vibration controllers. By implementing kurtosis control, the transportation industry would be well on its way to making its laboratory simulation tests much more realistic. And this, in turn, would result in better packaging
– putting more products in the customer’s hands without damage
The transportation industry historically has used Gaussian random vibration to simulate real-world transportation envi- ronments. However, examination of field measurements reveals the environments to be non-Gaussian in nature. Consequently, transportation test engineers should simulate real-world envi- ronments using non-Gaussian random vibration. Non-Gaussian random vibration (kurtosis control) increases the number of large peak accelerations (arising in field measurements due, in part, to the pot-holes of typical roadways) that the Gaussian random vibration tests “average away” with their vibration controllers. By implementing kurtosis control, the transportation industry would be well on its way to making its laboratory simulation tests much more realistic. And this, in turn, would result in better packaging– putting more products in the customer’s hands without damage
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