Generator set complex axis trajectory harmonic decomposition method and system based on singular value decomposition

The harmonic components in complex axial trajectories are extracted by the singular value decomposition method, which solves the problem of in-depth analysis of axial trajectories in the prior art, and achieves more accurate fault diagnosis.

CN119714834APending Publication Date: 2025-03-28BEIJING NARI DIGITAL TECH CO LTD +1
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Patent Information

Application Number
CN202411778755.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The prior art is difficult to deeply explore the harmonic components and noise in complex axial trajectories, making it difficult to achieve quantitative analysis of fault diagnosis.

Method used

The vibration signal matrix in the axis trajectory is decomposed into the product of the singular value, the left sub-matrix and the right sub-matrix, and the harmonic components are extracted by retaining the specific singular value, and the corresponding axis trajectory is drawn.

Benefits of technology

The harmonic decomposition and refinement of complex axial trajectories is realized, the characteristics of axial trajectory are deepened, and the ability to diagnose equipment faults is improved.

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Abstract

The invention discloses a singular value decomposition-based generator set complex axis trajectory harmonic decomposition method and system, and the method comprises the steps: arranging a pair of non-contact vibration sensors in the X direction and the Y direction of the upper half part of a bearing respectively, enabling the sensors to directly face the surface of a journal, connecting the output signals of two eddy current sensors to a vibration analysis instrument, and enabling the vibration analysis instrument to carry out vibration analysis; measuring the vibration signal waveform of the journal part; taking a positive integer n, continuously intercepting m segments of the time sequences xi and yi according to the equal length n, and constructing a matrix; decomposing the matrix into a product of three sub-matrixes by adopting a matrix singular value decomposition method; according to singular value characteristics, an Ith harmonic component in an original signal is extracted so that an axis track corresponding to the Ith harmonic component can be drawn. According to the method, the complex axis trajectory can be decomposed into the superposition of the axis trajectory diagram composed of different harmonic components and the axis trajectory diagram formed by noise, so that the harmonic decomposition and refinement of the complex axis trajectory are realized, and each harmonic component, noise and the like hidden in the complex axis trajectory are excavated.
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