Vibration signal analysis method

Abstract

The invention discloses a vibration signal analysis method. The method includes following steps: step 1, a collector collects fan operation data and transmits the data to a processor; step 2, obtaining a first time-rotating speed data sequence from the operation data and preprocessing the first time-rotating speed data sequence to obtain a second time-rotating speed data sequence; step 3, calculating the second time-rotating speed data sequence to obtain a time-rotating periodic number sequence; step 4, performing interpolation processing on the time-rotating periodic number sequence to obtaina complete period time sequence; step 5, performing interpolation processing on the complete period time sequence to obtain an angle domain uniform sampling time sequence; step 6, performing anti-aliasing filtering and digital interpolation on original vibration signals through the angle domain uniform sampling time sequence to obtain angle domain equal-angle vibration signals; and step 7, calculating the angle domain equal-angle vibration signals to obtain a vibration order ratio spectrum. According to the method, the vibration signals can be analyzed without installing a key-phase sensor, and a new analysis tool is provided for diagnosis of vibration faults.

Description

technical field [0001] The invention relates to an analysis method, in particular to a vibration signal analysis method. Background technique [0002] Most of the wind farms are located in areas with harsh climate conditions. The wind turbines have been subjected to unstable wind loads for a long time, and have the characteristics of variable speed and load, which determines that the vibration signals of wind turbines are highly unstable. In the traditional method, the vibration signal is directly subjected to Fourier transform, and the instability of the speed transient will produce a "spectrum fuzzy" phenomenon, which cannot effectively extract the fault characteristics of the wind turbine, which brings difficulties to the development of fault diagnosis. [0003] In order to solve the above problems, the researchers proposed a vibration signal order tracking analysis method. While measuring the vibration signal of the wind turbine, synchronously collect the key phase puls...

AI Technical Summary

Problems solved by technology

However, limited by site conditions, key phase sensors (eddy current or photoelectric sensors) cannot be installed on site in many cases, making the order tracking analysis method impossible to implement

At present, there is a lack of a method that can avoid the installation of key phase sensors and provide accurate and reliable vibration signal analysis methods for wind turbines

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