Correction Of Discrete Full Vector Spectrum And Its Engineering Application Research

Full vector spectrum is a novel technology which is developed from fault diagnosis and analysis of large rotating equipment enhances the precision of diagnosis and boost up the engineering practicability of the technology. The traditional vibration signal analysis based on single channel has not already been able to meet the need of fault signature abstraction and fault analysis in practical engineering. Full vector spectrum makes full use of fusion information using the source from two channels to get the fast, robust and accurate access to all the useful information that the vibration signals contain.Correction of spectrum is to improve the accuracy of spectral analysis. In the view of the existing spectrum correction technology only for single source signal or the single channel signal of the same source, the correction methods for vector spectrum of fusion vector signals generated by two channels is proposed. The principle, methods and the realization process of the interpolation correction, the energy center of gravity correction, the FFT+FT spectrum zoom and several spectrum correction based on phase difference are introduced in detail. The correction of spectrum of signals with three different window functions is analyzed and compared as well as the results of three spectrum correction based on phase difference. The combination of full vector spectrum and interpolation method with Hanning window and its combination with phase difference correction of two consecutive signals are proposed.The combination of full vector spectrum based on interpolation method with Hanning window and its combination with phase difference correction of two consecutive signals is researched and implemented. The principle of the two methods is that correction theory of traditional analysis method based on FFT is applied on the full vector spectrum, the accurate value of the full vector spectrum parameter of double channels’fusion vector signal which is not sampled in the way of synchronous integrated period. The implementing process of interpolation method and phase difference correction based on full vector spectrum is introduced in detail. Simulation results and Engineering Application demonstrate that interpolation method and phase difference correction based on the full vector spectrum can achieve the vibration parameters accurately under the condition of low frequency resolution and improve the applicability of spectrum technology.Combined with the present research situation of intensive spectrum and objectively analyzing the impact of intensive spectrum on the accuracy of spectrum to propose the necessity of the combination of intensive spectrum correction method and full vector spectrum in fault diagnosis. The full vector spectrum combined with selected band zoom method, using multiple analytical band-pass filter is proposed. The principle, algorithm and implementing process are introduced in detail, simulation is carried out. The results show that the zoom vector spectrum implemented by this method has high accuracy and good real-time performance, thereby improving the applicability of spectrum analysis technique in intensive spectrum environment.