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Real time residual life prediction method of gear

A life prediction and real-time monitoring technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as increased degradation rate and remaining life change

Active Publication Date: 2016-07-06
TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The degradation rate increases after the catastrophic point, resulting in a large change in the remaining life

Method used

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  • Real time residual life prediction method of gear
  • Real time residual life prediction method of gear
  • Real time residual life prediction method of gear

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Experimental program
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Embodiment Construction

[0109] An embodiment of the present invention will be further described below in conjunction with the accompanying drawings:

[0110] In the embodiment of the present invention, the real-time remaining life prediction method of the gear, the method flow chart is as follows: figure 1 Shown: include the following steps:

[0111] Step 1. Perform a fatigue test on the gear to obtain real-time monitoring data characterizing gear degradation:

[0112] The gear fatigue life test uses a power flow enclosed test bench. The center distance of the test bench is 150mm, and the motor speed is 1200r / min. During the test, the tank vibration, oil temperature and noise are monitored. In the experiment, the material used is alloy steel, the hard tooth surface gear with tooth surface hardness of 58-61HRC, and the surface treatment is carburizing and quenching. The front and back sides are alternately overlapped and engaged. The main test box gear modulus m=3, the number of teeth is z1=z2=50, the p...

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Abstract

The invention discloses a real time residual life prediction method of a gear, and belongs to the technical field of mechanical reliability. The method comprises following implementation steps of 1, using a sensor to monitor degeneration of the power gear in real time; 2, carrying out feature extraction to the fatigue state of the gear; carrying out degeneration evaluation to the wear degeneration performance of the gear; 3, building a parameter variable gear degeneration state space model; 4, detecting a sudden change state point in the degeneration process of the gear; 5, correcting a prediction model according to the detected sudden change point information; carrying out state evaluation again; and 6, predicting the residual life of the gear according to the gear state evaluation and a gear fault threshold value. The method has the advantages that the accuracy of predicting the degeneration state and the real time residual life of the gear can be effectively improved, thus providing the basis for preventative maintenance of the gear.

Description

Technical field [0001] The invention belongs to the field of mechanical reliability, and specifically relates to a real-time remaining life prediction method of gears. Background technique [0002] Gear is a key component in the transmission system of rotating machinery equipment widely used in the machinery industry. The gear meshing force is more complicated, and it is more prone to failure when running under variable working conditions and variable loads. When gears have broken teeth, tooth surface fatigue, gluing, etc., it often causes catastrophic damage to the entire mechanical equipment. At the same time, with the development of information sensing equipment, real-time monitoring of the running state of gears can be carried out, and the large amount of real-time monitoring information received can be used to more accurately predict the degradation state of the system and its remaining life, which can provide key information about the state of health. Then identify and ma...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 石慧张晓红常春波曾建潮董增寿
Owner TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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