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The precise estimation of random vibration signals (RVS) is the important guarantee for safety and stability in flight. But in testing phase, RVS with small samples are obtained under the condition of unknown probability distribution. The current estimation methods based on statistical theory could not be used to estimate this kind of small samples. In this paper, a novel bootstrap maximum entropy...
During environment testing, the estimation of random vibration signals (RVS) is an important technique for the airborne platform safety and reliability. However, the available methods including extreme value envelope method (EVEM), statistical tolerances method (STM) and improved statistical tolerance method (ISTM) require large samples and typical probability distribution. Moreover, the frequency-varying...
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