Klingelnberg bevel gear fault diagnosis method based on sensitive IMF (instinct mode function) components

A fault diagnosis and gear technology, applied in the fault diagnosis of Klingenberg bevel gears, based on sensitive IMF in the field of fault diagnosis of Klingenberg bevel gears

Active Publication Date: 2013-08-07
BEIJING UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, how to effectively extract the fault information from the vibration signal of the Klingenberg bevel gear, the current mechanical equipment fault diagnosis technology still fails to meet the actual needs, and still has great research potential. The diagnostic methods and techniques are still one of the important research contents in this field

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  • Klingelnberg bevel gear fault diagnosis method based on sensitive IMF (instinct mode function) components
  • Klingelnberg bevel gear fault diagnosis method based on sensitive IMF (instinct mode function) components
  • Klingelnberg bevel gear fault diagnosis method based on sensitive IMF (instinct mode function) components

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Embodiment Construction

[0041] The flowchart of a Klingenberg bevel gear fault diagnosis method based on sensitive IMF in the embodiment of the present invention is as follows: figure 1 As shown, the steps of the present invention will be described in detail below in conjunction with the flow chart. The specific implementation steps are as follows:

[0042] The first step: use the acceleration sensor to measure the Klingenberg bevel gearbox, and collect the gear acceleration vibration signal as the signal to be analyzed;

[0043] Step (1): Layout and related parameters of the signal acquisition system

[0044] figure 2 A schematic diagram of the layout of the signal acquisition system. like figure 2As shown in , the acquisition system mainly includes three parts, the first part is the motor M that provides power for the system, and the speed of the motor is controlled by the speed controller to ensure the speed requirements of the gears in the system; the second part is the power transmission p...

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Abstract

The invention discloses a Klingelnberg bevel gear fault diagnosis method based on sensitive IMF (instinct mode function) components. The method includes 1, measuring a Klingelnberg bevel gear box by an acceleration sensor, collecting acceleration vibration signals, 2, importing the collected signals into Matlab to acquire initial signals, performing EMD (empirical mode decomposition) on the initial signals to acquire a series of IMF components, 3, calculating sensitiveness of each IMF component according to the sensitiveness evaluation algorithm, selecting the sensitive IMF component, 4, calculating instant energy spectrum of the sensitive IMF component, drawing a instant energy spectrogram, and accurately extracting fault characteristics according to the amplitude distribution of the spectrogram. The method is an effective fault characteristic extracting method, and can be applied to fault diagnosis on a Klingelnberg bevel gear; fault information can be quickly and accurately extracted; and a significant theoretical basis is provided for the fault diagnosis and the characteristic extraction of the Klingelnberg bevel gear.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, relates to a fault diagnosis method for a Klingenberg bevel gear, and more particularly relates to a fault diagnosis method for a Klingenberg bevel gear based on a sensitive IMF. Background technique [0002] Klingelnberg Spiral Bevel Gear, as one of the two tooth systems of spiral bevel gears, has the characteristics of smooth transmission, high bearing capacity, hard tooth surface scraping technology, etc., so it is especially suitable for high power and high torque In the field of heavy-duty transmission, it is the core transmission component in important fields such as heavy-duty high-end CNC machine tools, automobile transmission systems, and aerospace equipment. This kind of gear usually works under complex working conditions such as heavy load, impact and variable load, and often causes pitting, gluing, cracking and even broken teeth, which leads to gear failure. Failure to detect...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/02
Inventor 刘志峰罗兵张敬莹张志民郭春华
Owner BEIJING UNIV OF TECH
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