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Rotor misalignment state identification method based on improved D-S evidence fusion

A technology of evidence fusion and state recognition, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as inability to accurately express conflicts between evidence

Active Publication Date: 2021-06-25
HUNAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the commonly used distance measure function still cannot accurately express the conflict between evidences in some cases.

Method used

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  • Rotor misalignment state identification method based on improved D-S evidence fusion
  • Rotor misalignment state identification method based on improved D-S evidence fusion
  • Rotor misalignment state identification method based on improved D-S evidence fusion

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Embodiment Construction

[0043] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the associated drawings. Preferred embodiments of the invention are shown in the accompanying drawings. However, the present invention can be embodied in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0044] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and / or" includes any and all combinations of one or more of ...

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Abstract

The invention relates to a rotor misalignment state identification method based on improved D-S evidence fusion. The method comprises the following steps: acquiring acceleration vibration data of a rotor in a non-centering state; obtaining an initial evidence source of a D-S evidence theory according to the acceleration vibration data; obtaining mutual information measurement between the evidence bodies, and obtaining a similarity measurement function between the evidence bodies according to the mutual information measurement between the evidence bodies; obtaining the total similarity of the evidence body Ei according to a similarity measurement function; obtaining a credible function of the evidence body according to the total similarity; obtaining the credibility degree of each evidence body according to the credible function; correcting the initial evidence source according to the credibility of each evidence body to obtain a corrected evidence source; and synthesizing the corrected evidence source by using a D-S synthesis rule to obtain a fault state recognition result of multi-source decision fusion. Therefore, the method greatly optimizes the fault identification process, and improves the identification accuracy of the rotor misalignment state.

Description

technical field [0001] The invention relates to the technical field of dual-rotor misalignment fault identification, in particular to a rotor misalignment state identification method based on improved D-S evidence fusion. Background technique [0002] The rotor system is the core component of aero-engines, steam turbines, wind power generators and other equipment. Due to manufacturing and installation errors, support bearing wear, rotor winding and thermal deformation, etc., the rotors are in various forms of misalignment. The vibration of the whole machine is too large, and in severe cases, the entire rotor system is damaged, threatening the safe and stable operation of the equipment. Misalignment faults are inevitable, but if the misalignment state (type, position, degree) of the rotor system can be grasped in time, maintenance measures can be taken in time to reduce the accident rate caused by misalignment faults. [0003] In practical engineering applications, the rotor...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/22G06F18/25G06F18/257G06F18/214
Inventor 杨大炼李仁杰张帆宇宾光富王平
Owner HUNAN UNIV OF SCI & TECH
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