Feature frequency extraction algorithm based on matching pursuit and its application in axis orbit

Rotor displacement signal is an important state characteristic parameter of rotating machinery, which contains abundant operation information of rotating machinery. Aiming at the problem of purifying axis orbit in large -scale rotor test-bed, a new method of extracting the characteristic frequency and synthesizing axis orbit is proposed based on the matching pursuit algorithm (MP). In this paper, the sparse decomposition of signals in the algorithm is implemented by MP algorithm. The algorithm can accurately extract single or multiple feature frequencies. The purified curve is clearer and more efficient. Fault types can be found by extracting different characteristic frequency synthetic axis trajectories, so as to understand the operation status of the large-scale rotor test-bed