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Feasibility Study of HHT Method on Helicopter Rotor Imbalance Fault Feature Extraction

Abstract. Firstly, using the Hilbert-Huang Transform (HTT) methods of data for the empirical mode decomposition (EMD), so as to extract the Intrinsic mode function (IMF) of the signal, and then do Hilbert transform to get the Hilbert spectrum of the signal. The method has great advantages to non-linear and non-stationary data signal. For helicopter rotor imbalance fault causes the body to the vibration characteristics of the data, the marginal spectrum analysis its, can get the valid fault feature.

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Feasibility Study of HHT Method on Helicopter Rotor Imbalance Fault Feature Extraction

Semantic Scholar · Engineering · 2015

Abstract

Abstract. Firstly, using the Hilbert-Huang Transform (HTT) methods of data for the empirical mode decomposition (EMD), so as to extract the Intrinsic mode function (IMF) of the signal, and then do Hilbert transform to get the Hilbert spectrum of the signal. The method has great advantages to non-linear and non-stationary data signal. For helicopter rotor imbalance fault causes the body to the vibration characteristics of the data, the marginal spectrum analysis its, can get the valid fault feature.

Source of record · Semantic Scholar

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