A wind power tower drum vibration signal underdetermined blind source separation method for solving an unknown source number

Abstract

The invention relates to a wind power tower drum vibration signal underdetermined blind source separation method for solving an unknown source number, and the method comprises the steps of firstly converting a mixed signal into a time-frequency domain, and converting the mixed signal into a multi-dimensional row vector; screening the multiple pieces of time-frequency point data through a principal component analysis method and a mixed time-frequency ratio method based on the multi-dimensional row vector to obtain single-source domain feature data meeting a preset screening formula, and performing normalization processing on the single-source domain feature data to obtain feature data represented based on a direction angle; clustering through a preset modified clustering algorithm to obtain a signal source number and an estimation hybrid matrix; and finally, obtaining a source signal through sparse optimization based on the signal source number and the estimation hybrid matrix. Therefore, when the single-source domain feature data is screened, the data of the multiple time frequency points are screened through the principal component analysis method and the mixed time frequency ratio method, the information amount is increased, the screening accuracy is improved, clustering is carried out by modifying the aggregation algorithm, the number of vibration sources and the frequency components of all the sources are accurately recognized, and the data analysis accuracy is improved.

Description

technical field [0001] The present application relates to the technical field of sensor data processing, and in particular to an underdetermined blind source separation method for vibration signals of wind power towers that solves unknown source numbers. Background technique [0002] In recent years, wind power technology has developed rapidly. Wind energy is a clean and pollution-free renewable energy. It converts the kinetic energy of the wind into mechanical kinetic energy, and then converts the mechanical energy into electrical kinetic energy. This is wind power generation. In the process of wind power generation, the tower is an important structure supporting the wind rotor, tail rudder and generator, and is the most important load-bearing part of the whole system. In order to ensure the safe operation of the wind power generation system, we usually install multiple sensors on the tower. The use of sensors to detect and analyze the vibration source of the tower allows u...

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Problems solved by technology

[0004] This application provides an underdetermined blind source separation method for vibration signals of wind power towers to solve unknown source numbers, so as to solve the problems in the prior art when processing and analyzing the vibration signals detected by the tower sensors. The problem of insufficient precision

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