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Aiming at the characteristic that the vibration signals of hydraulic pump usually have strong nonlinearity and low signal-to-noise ratio, this article presents a novel hydraulic pump degradation feature extraction method based on improved local characteristic-scale decomposition and multi-fractal spectrum. First of all, the original vibration signal is decomposed into the independent intrinsic scale components by local characteristic-scale decomposition, and the main intrinsic scale components which contain the sensitive degradation information are selected by mutual information. And then, the multi-fractal parameters of the main intrinsic scale components are calculated. The presenting capability of four fractal spectrum parameters on hydraulic pump degradation state is analyzed, and as a result, the multi-fractal spectrum width [Formula: see text] is finally selected as the degradation feature parameter. Finally, the degradation features are inputted into a binary tree support vector machine to recognize the degradation states. The application results indicated that the proposed method can recognize the degradation states of hydraulic pump effectively.

Degradation feature extraction of the hydraulic pump based on local characteristic-scale decomposition and multi-fractal spectrum