Fault diagnosis method and diagnosis system for gearbox

A fault diagnosis and gearbox technology, applied in the testing of mechanical components, pattern recognition in signals, testing of machine/structural components, etc., can solve problems such as inability to fully consider fault signal characteristics, loss of important information, etc., and achieve good results Practical value, the effect of improving accuracy

Pending Publication Date: 2021-12-03
INNER MONGOLIA UNIV OF TECH
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AI Technical Summary

Problems solved by technology

However, the commonly used methods cannot fully consider the characteristics of the fault signal, which may easily cause the loss of important information.

Method used

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  • Fault diagnosis method and diagnosis system for gearbox
  • Fault diagnosis method and diagnosis system for gearbox
  • Fault diagnosis method and diagnosis system for gearbox

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Embodiment Construction

[0039] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0040] The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to limit the present disclosure. As used in this disclosure and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that th...

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Abstract

The invention provides a fault diagnosis method and system for a gearbox, and the method comprises the steps: dividing an original composite fault signal of the gearbox into different frequency bands through a 1/3 binary tree strategy, calculating the kurtosis values and singular value negentropies of different frequency bands, so as to define an SVN-Kurtosis diagram, and selecting an optimal frequency band from the SVN-Kurtosis diagram; acquiring filtering signals according to the center frequency and the bandwidth of the optimal frequency band, making multi-point kurtosis spectrum analysis on the filtering signals, and performing separation and extraction by an MOMEDA algorithm according to the fault period interval extracted from the multi-point kurtosis spectrum; and making fault feature enhanced analysis on the result of separation and extraction by adopting a composite cross-correlation spectrum. According to the fault diagnosis method and the diagnosis system, fault diagnosis can be better realized, and important information can be fully reserved.

Description

technical field [0001] The invention relates to the field of gearbox fault diagnosis, in particular to a gearbox fault diagnosis method and a diagnosis system. Background technique [0002] In large-scale rotating machinery, the gears and bearings in the gearbox are high-failure parts, and the operating environment of the gearbox is harsh, such as wind power generation systems, often resulting in multiple faults and complex faults. If not repaired in time, it will cause damage to the mechanical system. serious hazard. Due to the mutual interference, coupling and aliasing among the fault responses of composite faults, it is difficult to separate and extract the characteristic information, so that it is impossible to distinguish the fault type. How to extract the characteristic parameters that can effectively represent the fault state of the gearbox from the composite fault signal, and increase the discrimination between fault features is the key to realize the composite faul...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G01M13/021G01M13/028
CPCG01M13/021G01M13/028G06F2218/02G06F2218/08G06F2218/12G06F18/24
Inventor 齐咏生贾舜宇刘利强李永亭马然
Owner INNER MONGOLIA UNIV OF TECH
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