In order to improve the mechanics properties of the rotor components at ultra-high load steady acceleration conditions, the significant factors to the rotor mechanics properties, which include the ellipsoid axis length, minor axis length, rotor speed and gyration radius of holes, are taken as the optimizing objects, the extreme stress, strain extremes, moment of inertia of rotor are optimized as the targets. Then optimization models of the rotor mechanics parameters are established, and the multi-objective optimization method of rotor mechanics properties is proposed based on particle swarm. The results show that the mechanics properties of the rotor were significantly improved using the optimize method.

A matching pursuit method based on Dual-Tree Complex Wavelet Transform (DT-CWT) is proposed for extracting feature. Many new orthogonal wavelet bases formed Hilbert transform pairs is constructed by the method which is based on the sufficient and necessary condition on constructing wavelet, via the flat delay filter, and translated the problem into resolving algebraic equations. And taking these wavelets as choice object, a matching pursuit method based on DT-CWT is used for extracting feature. The matching pursuit method is based on series expansion of the signal by a set of elementary functions of orthogonal wavelets formed Hilbert transform pairs to match feature more effectively. Simulation testing and field experiments confirm that the proposed method is effective especially in extracting impulsive feature on high intensity noise, which matching pursuit method based on Discrete Wavelet Transform and other wavelet de-noising methods based on threshold and frequency-band, etc cannot do it completely.