Intelligent diagnosis method for faults of mining drilling machine gearbox

An intelligent diagnosis and gearbox technology, applied in the direction of machine gear/transmission mechanism testing, etc., can solve the problem of difficulty in obtaining typical fault samples of gearboxes, and achieve the effects of improving diagnostic accuracy, accurate diagnosis, and improving computing efficiency.

Inactive Publication Date: 2013-10-02
XIAN RES INST OF CHINA COAL TECH& ENG GROUP CORP
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AI Technical Summary

Problems solved by technology

[0005] It is difficult to obtain typical fault samples of gearboxes, and usually only a large amount of monitoring data of unknown gearbox states can be collected

Method used

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  • Intelligent diagnosis method for faults of mining drilling machine gearbox
  • Intelligent diagnosis method for faults of mining drilling machine gearbox
  • Intelligent diagnosis method for faults of mining drilling machine gearbox

Examples

Experimental program
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Embodiment Construction

[0032] refer to figure 1 Shown is a frame diagram based on empirical mode decomposition and TSVM intelligent diagnosis, describing the construction process of the model.

[0033] refer to figure 2 Shown are the time-domain waveforms and spectrograms of the four-state gearbox monitoring signals. (a), (c), (e), and (g) are the time-domain waveforms of the gearbox monitoring signals in four states. It can be seen from the time-domain waveform diagram that there are differences in the monitoring signals of the gearbox in the four states, but the type of gearbox fault cannot be judged based on these differences. (b), (d), (f), and (h) are the spectrum diagrams of monitoring signals of gearboxes in four states. The spectrogram shows that there are differences in the monitoring signals of the gearbox in the four states, but this difference cannot be used to directly judge the type of gearbox fault.

[0034] refer to image 3 Shown is the result of intelligent diagnosis based on...

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Abstract

The invention discloses an intelligent diagnosis method for faults of a mining drilling machine gearbox. The method comprises the steps as follows: adopting an experiential mode decomposition method to decompose a mining drilling machine gearbox monitoring signal into a plurality of basic mode components, and extracting weak fault information in the signal; calculating time-domain statistical characteristic and frequency-domain statistical characteristic of each basic mode component, utilizing a distance assessment technique to select statistical characteristics sensitive to the faults, and constructing an input vector; applying a multi-classification transductive support vector machine to perform classification on the running state of the gearbox, and performing intelligent diagnosis on the various gear faults of the mining drilling machine gearbox. According to the invention, the diagnosis efficiency is high, and various weak faults of the mining drilling machine gearbox can be effectively diagnosed.

Description

technical field [0001] The invention belongs to the field of intelligent fault diagnosis of mechanical equipment, and in particular relates to an intelligent fault diagnosis method for a gearbox of a mine drilling rig. Background technique [0002] Gearbox is the core device of power transmission for mining drilling rigs, and its failure often leads to the shutdown of the drilling rig, causing huge economic losses and even threatening personal safety. At the same time, the working environment of coal mines is harsh, and various gearbox failures are prone to occur. Therefore, it is necessary to carry out effective condition monitoring on the gearbox of the drilling rig, quickly determine the fault location and type in the early stage of the fault, and take necessary countermeasures to ensure the normal operation of the drilling rig, so as to ensure the safety of coal mining construction. In order to accurately diagnose the fault type of the mine drilling rig gearbox, it is u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/02
Inventor 申中杰李晓鹏董洪波姚亚峰宋昱播杜小山
Owner XIAN RES INST OF CHINA COAL TECH& ENG GROUP CORP
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