Application of Singular Value Energy Difference Spectrum in Axis Trace Refinement

Focusing on purification of axis trace of rotating machinery, a new refinement method was proposed by application of singular value decomposition. At first, the original vibration signal was reconstructed in phase space by Hankel matrix; then the attractor track matrix was decomposed with singular value decomposition. Then, in order to determine the reconstruction order number of singular values, the concept of energy difference spectrum of singular values was defined; then the reconstruction order number was determined according to the peak position of the energy difference spectrum. In the end, the effectiveness of the method was proved by simulation and successful purification of axis trace coming from the turbine generator units of power plant. Simulation and practical application show the proposed method can retain the original signal characteristic effectively and eliminate noise as much as possible. It will provide a new way for axis trace refinement. Copyright © 2014 IFSA Publishing, S. L.